Cristian Perez — OGILVIE

Cristian PerezOF FCL Tigers

Age 19 R/R 5'11" / 190 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION175 act + 17 ros · stats below = ROS only

showingROS

wRC+†68

AVG/OBP/SLG.188 / .235 / .250

PA17

HR0

K%29

BB%6

BABIP260

ISO62

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$9M ctrl surplus

Tools · ContractCON 30 / POW 35

Toolsscout grade

CONTACT30

scouting grade only

POWER35

scouting grade only

EYE25

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.8M	—	—	—
2036	Arb-2	$0.7M	—	—	—
2037	Arb-3	$7M	—	—	—
Totals		$0.0M		$0.2M	+$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)
2023	16	ROK	DSL Tigers 1	—	97	91	29	6	2	1	2	24	3	1	0	319	354	462	816	143	418	25	2	358	128	+3	+0	—	—	+2	0.6
2024	17	ROK	DSL Tigers 2	—	204	165	46	5	1	3	32	52	4	7	1	279	408	376	784	97	381	25	16	358	128	+7	+1	—	—	+4	1.3
2025	18	ROK	DSL Tigers 1	—	182	160	39	4	1	5	14	55	7	7	0	244	331	375	706	131	337	30	8	320	103	+1	+1	—	—	+4	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	16	ROK MLE	DSL Tigers 1	—	97	92	20	4	1	1	1	35	3	1	0	217	250	315	565	98	324	36	1	243	51	-6	+0	—	—	+2	-0.3
2024	17	ROK MLE	DSL Tigers 2	—	204	177	36	4	1	2	20	76	4	7	1	203	299	271	570	68	319	37	10	258	61	-10	+1	—	—	+4	-0.4
2025	18	ROK MLE	DSL Tigers 1	—	182	166	25	3	1	1	8	80	7	7	0	151	221	199	420	48	259	44	4	182	9	-20	+1	—	—	+4	-1.5
2023	16	ROK MLE	DSL Tigers 1	—	97	92	20	4	1	1	1	35	3	1	0	217	250	315	565	98	333	36	1	243	51	—	—	—	—	—	—
2023	16	ROK RAW	DSL Tigers 1	—	97	91	29	6	2	1	2	24	3	1	0	319	354	462	816	143	418	25	2	358	51	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	204	177	36	4	1	2	20	76	4	7	1	203	299	271	570	68	333	37	10	258	61	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tigers 2	—	204	165	46	5	1	3	32	52	4	7	1	279	408	376	784	97	381	25	16	358	61	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	182	166	25	3	1	1	8	80	7	7	0	151	221	199	420	48	279	44	4	182	9	—	—	—	—	—	—
2025	18	ROK RAW	DSL Tigers 1	—	182	160	39	4	1	5	14	55	7	7	0	244	331	375	706	131	337	30	8	320	9	—	—	—	—	—	—
2023	16	ROK MLE	DSL Tigers 1	—	97	93	20	4	1	1	1	35	3	1	0	215	250	312	562	97	324	36	1	243	51	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	204	178	36	4	1	2	20	76	4	7	1	202	299	270	568	67	319	37	10	258	61	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	182	165	25	3	1	1	8	80	7	7	0	152	221	200	421	48	259	44	4	182	9	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	16	ROK MLE	DSL Tigers 1	—	97	93	20	4	1	1	1	35	3	1	0	215	250	312	562	97	324	36	1	243	51	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tigers 2	—	204	178	36	4	1	2	20	76	4	7	1	202	299	270	568	67	319	37	10	258	61	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tigers 1	—	182	165	25	3	1	1	8	80	7	7	0	152	221	200	421	48	259	44	4	182	9	—	—	—	—	—	—
YTD	19	ROK MLE	DET	—	175	155	29	8	1	9	16	68	3	4	0	187	276	426	702	239	253	39	9	289	82	-4	+1	+0	-1	+4	-0.0
▸ 2026 season
YTD	19	ROK RAW	DET	—	175	144	39	12	1	12	25	47	3	4	0	271	385	618	1.003	347	314	27	14	425	82	—	—	—	—	—	—
ROS	19	ROK MLE	DET	0%	17	16	3	1	0	0	1	5	0	0	0	188	235	250	485	62	264	29	6	269	68	-1	+0	+0	-0	+0	-0.0
TOT	19	ROK MLE	DET	—	192	171	32	9	1	9	17	73	3	4	0	187	272	409	682	222	256	38	9	287	81	-4	+1	+0	-1	+4	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	DET	34%	241	219	45	10	1	6	17	69	3	4	1	205	272	342	614	137	266	29	7	276	73	-8	+0	+0	-1	+5	-0.4
2028	21	MLB MLE	DET	48%	364	329	70	15	2	10	27	102	5	6	1	213	283	362	644	149	269	28	7	284	79	-9	+1	+0	-2	+8	-0.3
2029	22	MLB MLE	DET	54%	452	408	87	18	2	13	34	124	7	8	2	213	285	363	648	150	271	27	8	290	82	-10	+1	+0	-3	+10	-0.2
2030	23	MLB MLE	DET	57%	510	460	100	21	3	15	38	138	7	9	2	217	287	374	661	157	272	27	7	293	84	-9	+1	+0	-3	+11	-0.0
2031	24	MLB MLE	DET	57%	548	493	107	22	3	16	42	148	8	10	2	217	289	371	660	154	273	27	8	295	86	-9	+1	+0	-3	+12	0.0
2032	25	MLB MLE	DET	60%	570	513	112	23	3	17	44	154	8	11	2	218	290	374	665	156	273	27	8	296	86	-9	+1	+0	-3	+12	0.1
2033	26	MLB MLE	DET	62%	582	523	114	24	3	17	45	157	9	11	2	218	291	373	664	155	273	27	8	296	87	-9	+1	+0	-3	+13	0.1
2034	27	MLB MLE	DET	63%	584	525	114	24	3	17	45	158	9	11	2	217	290	371	662	154	273	27	8	296	87	-9	+1	+0	-4	+13	0.1
2035	28	MLB MLE	DET	65%	581	521	112	23	3	17	46	158	9	11	2	215	290	369	658	154	272	27	8	295	86	-10	+1	-1	-3	+13	0.0
2036	29	MLB MLE	DET	65%	572	514	111	23	3	17	45	156	8	10	2	216	289	372	661	156	271	27	8	293	85	-10	+1	-1	-3	+12	-0.2
2037	30	MLB MLE	DET	65%	562	504	107	22	2	16	45	155	8	10	2	212	287	359	646	147	270	28	8	291	83	-11	+1	-2	-3	+12	-0.4
2027	20	MLB CTX	DET	34%	83	76	14	3	0	2	6	24	1	1	0	184	253	303	556	118	261	29	7	261	73	-3	+0	+0	-0	+2	-0.1
2028	21	MLB CTX	DET	48%	176	158	33	7	1	5	13	49	3	3	1	209	282	361	642	152	264	28	7	268	79	-4	+0	+0	-1	+4	-0.2
2029	22	MLB CTX	DET	54%	245	221	47	10	1	7	18	67	4	4	1	213	284	362	646	149	266	27	7	274	82	-5	+0	+0	-1	+5	-0.1
2030	23	MLB CTX	DET	57%	289	261	54	11	1	8	22	78	4	5	1	207	279	349	627	142	268	27	8	277	84	-5	+1	+0	-2	+6	-0.0
2031	24	MLB CTX	DET	57%	310	278	60	12	2	9	24	84	5	6	1	216	290	371	660	155	268	27	8	279	86	-5	+1	+0	-2	+7	0.0
2032	25	MLB CTX	DET	60%	344	310	67	14	2	10	26	93	5	6	1	216	287	371	658	155	268	27	8	280	86	-6	+1	+0	-2	+7	0.1
2033	26	MLB CTX	DET	62%	363	327	69	14	2	10	28	98	5	7	1	211	283	358	641	147	268	27	8	280	87	-6	+1	+0	-2	+8	0.1
2034	27	MLB CTX	DET	63%	370	333	72	15	2	11	29	100	5	7	1	216	289	372	661	156	268	27	8	280	87	-6	+1	+0	-2	+8	0.1
2035	28	MLB CTX	DET	65%	378	339	73	15	2	11	30	103	6	7	1	215	291	369	659	153	267	27	8	279	86	-6	+1	-0	-2	+8	0.0
2036	29	MLB CTX	DET	65%	372	335	70	14	2	10	29	102	5	7	1	209	282	352	634	143	266	27	8	277	85	-7	+1	-1	-2	+8	-0.1
2037	30	MLB CTX	DET	65%	365	328	69	14	2	10	29	101	5	6	1	210	285	357	641	146	265	28	8	275	83	-7	+1	-1	-2	+8	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3295	2966	628	129	17	93	254	899	48	59	10	212	285	361	645	149	269	27	8	277	81	-61	+8	-3	-20	+71	-0.4
/ 162G	—	A+C		—	650	585	123	25	3	18	50	177	9	12	2	210	282	356	638	145	267	27	8	277	81	-12	+2	-1	-4	+14	-0.1
Career	—	MLE		—	6066	5460	1163	237	31	165	458	1715	95	116	21	213	285	358	644	145	276	28	8	287	81	-105	+12	-4	-33	+121	-1.0
/ 162G	—	MLE		—	650	585	124	25	3	18	49	184	10	12	2	212	284	357	641	145	274	28	8	287	81	-12	+1	-0	-4	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#4John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.2	3,451	98	62	216	285	367	-21	+0	1.4	1.5
/162	664	19	12	-4.0	+0.0	0.3	pk7: 2
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#6Nick 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

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 Perez (OGILVIE)	19	30	35	50	25	197/264/331	134	264	4	3	30%	7%	68	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Maximo Rivera 2012 · A	19	35	41→45	47→60	41	179/238/272	93	242	10	13	30%	6%	44	-2.8	221/272/301	80	288	7	19	24%	6%	63	-1.4	235/283/299	64	303	5	24	23%	5%	64	-0.4
✕Dennys Riera 2023 · A	18	35	39→40	50	36	173/231/260	87	272	7	6	37%	6%	38	-3.2	172/242/246	74	249	5	6	31%	6%	40	-3.0	183/266/258	74	252	5	7	27%	5%	53	-0.5
✕Jose Cordoba 2022 · A	19	40	40	46→55	38	195/253/280	85	273	7	8	30%	5%	51	-2.2	200/258/297	97	283	8	10	31%	6%	57	-1.8	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Janelfry Zorrilla 2010 · A	19	38	38→45	51→50	38	189/234/265	77	255	6	13	28%	4%	40	-3.0	216/275/340	124	268	12	12	23%	6%	74	-0.6	220/275/339	119	277	13	9	24%	5%	72	-0.3
✕Rudy van Heydoorn 2008 · A	19	37	38→45	46→50	37	179/239/262	83	292	6	10	38%	7%	42	-2.9	183/273/286	103	276	11	8	35%	9%	62	-1.4	165/268/271	106	240	13	6	34%	10%	56	-0.6
✕Raul Juarez 2016 · A	18	37	38→45	45→40	37	182/242/262	80	251	5	7	29%	4%	43	-2.8	207/265/290	83	274	7	5	26%	5%	58	-1.7	203/259/274	71	266	8	3	26%	4%	50	-0.6
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Albert Laboy 2006 · A	19	39→38	37→40	52→45	42	187/233/255	68	227	5	9	20%	4%	37	-3.3	210/254/295	85	254	8	8	20%	5%	55	-2.0	213/261/298	85	248	10	6	18%	5%	56	-1.0
✕Emilio King 2009 · A	19	38	37→45	44→40	41	184/245/258	74	245	5	6	26%	6%	43	-2.8	196/260/278	82	281	5	6	30%	5%	54	-2.0	205/257/297	92	296	6	4	31%	4%	54	-0.9
✕Albert Hernandez 2008 · A	19	43	39→40	49→45	46	207/270/299	92	260	6	7	22%	7%	62	-1.4	226/286/317	91	285	6	7	22%	6%	72	-0.7	230/289/314	84	291	6	6	22%	6%	70	-0.2
✕Ronarsy Ledesma 2012 · A	19	41	42→45	47→50	43	203/277/306	103	268	9	7	27%	6%	67	-1.1	224/283/326	102	290	5	11	24%	5%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Victor Tademo 2018 · A	19	39	37→40	52→55	37	189/240/263	74	277	4	14	32%	5%	42	-2.9	195/241/256	61	285	3	7	31%	5%	40	-3.0	181/217/201	20	252	0	3	27%	4%	17	-1.4
✕Jose Meza 2023 · A	20	41→40	41→45	48→50	41	200/267/299	99	282	9	10	31%	6%	61	-1.5	203/296/305	102	299	9	8	32%	10%	74	-0.5	186/292/283	98	277	9	10	33%	11%	67	-0.7
✕Robedluis Fuentes 2007 · A	18	40	38→30	54→45	37	197/239/278	81	273	6	11	30%	4%	45	-2.7	217/280/275	58	274	3	9	20%	6%	60	-1.6	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Ryan Vega 2016 · A	19	40	35→40	52→45	41	190/245/253	62	253	3	9	25%	5%	42	-2.9	221/274/312	91	286	8	7	24%	6%	66	-1.1	200/263/287	87	275	8	6	29%	6%	56	-0.8
✕Jerar Encarnacion 2017 · A	19	41→45	40→50	50→45	38	202/241/292	90	278	7	6	29%	5%	49	-2.4	190/233/287	97	311	9	5	40%	5%	45	-2.7	215/287/377	162	320	23	6	38%	8%	84	+0.1
✕Deiber Olivera 2012 · A	19	44	38→40	50→45	44	210/259/296	86	269	4	8	23%	6%	56	-1.9	236/277/312	76	275	3	7	15%	4%	67	-1.1	255/291/322	67	289	2	7	12%	3%	73	-0.2
✕Rafael Mejia 2017 · A	19	37	39→40	47→50	38	184/237/267	83	263	7	6	32%	5%	42	-2.9	198/237/320	122	278	14	7	33%	4%	55	-2.0	206/233/374	168	276	24	10	35%	2%	61	-0.3
✕Adonis Paula 2013 · A	19	37	37→40	48→40	35	180/236/252	72	281	4	8	36%	5%	38	-3.2	196/258/274	78	286	4	5	31%	6%	52	-2.2	178/237/252	75	274	4	2	34%	6%	37	-1.1
✕Enger Jimenez 2015 · A	20	39	40	48→50	38	191/241/288	97	267	7	9	30%	5%	49	-2.4	214/267/304	90	282	5	10	24%	6%	61	-1.5	223/275/315	92	285	5	14	22%	5%	64	-0.6

Career Stats + Projections

Career Comps

Career Path Comps