Cris Rodriguez — OGILVIE

Cris RodriguezOF FCL Tigers

Age 18 R/R 6'3" / 203 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION230 act + 23 ros · stats below = ROS only

showingROS

wRC+†65

AVG/OBP/SLG.182 / .217 / .364

PA23

HR0

K%39

BB%4

BABIP281

ISO182

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$11M ctrl surplus

Tools · ContractCON 40 / POW 64

Toolsscout grade

CONTACT40

scouting grade only

POWER64

scouting grade only

EYE33

scouting grade only

SPEED49

scouting grade only

DEFENSE52

scouting grade only

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	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Arb-1	$3M	+0.6	$1M	+$0.0M
2035	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2036	Arb-3	$7M	+0.5	$0.9M	+$0.0M (cut)
Totals		$6M		$7M	+$2M

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)
2025	17	ROK	DSL Tigers 2	—	188	172	53	12	1	10	11	42	0	10	2	308	350	564	914	256	344	22	6	386	148	+11	+1	—	—	+4	1.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Tigers 2	—	188	176	39	8	1	7	7	61	0	10	2	222	251	398	649	176	267	32	4	272	70	-7	+1	—	—	+4	-0.1
2025	17	ROK MLE	DSL Tigers 2	—	188	176	39	8	1	7	7	61	0	10	2	222	251	398	649	176	283	32	4	272	70	—	—	—	—	—	—
2025	17	ROK RAW	DSL Tigers 2	—	188	172	53	12	1	10	11	42	0	10	2	308	350	564	914	256	344	22	6	386	70	—	—	—	—	—	—
2025	17	ROK MLE	DSL Tigers 2	—	188	179	39	8	1	7	7	61	0	10	2	218	251	391	642	173	267	32	4	272	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Tigers 2	—	188	179	39	8	1	7	7	61	0	10	2	218	251	391	642	173	267	32	4	272	70	—	—	—	—	—	—
YTD	18	ROK MLE	DET	—	230	214	37	9	2	8	12	111	3	8	3	173	227	346	573	173	302	48	5	244	51	-13	+0	+0	-1	+5	-1.0
▸ 2026 season
YTD	18	ROK RAW	DET	—	197	175	48	11	3	9	18	64	3	8	2	274	352	526	878	251	379	32	9	381	51	—	—	—	—	—	—
YTD	18	A RAW	DET	—	33	32	11	4	1	3	1	13	0	0	1	344	364	812	1.176	469	500	39	3	497	51	—	—	—	—	—	—
ROS	18	ROK MLE	DET	0%	23	22	4	1	0	1	1	9	0	1	0	182	217	364	581	182	286	39	4	265	65	-1	+0	-0	-0	+0	-0.0
TOT	18	ROK MLE	DET	—	253	236	41	10	2	9	13	120	3	9	3	174	226	347	574	174	296	47	5	246	52	-14	+1	-0	-2	+5	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	DET	34%	301	278	57	11	2	10	17	107	3	5	2	205	258	367	625	162	289	36	6	280	75	-9	+0	-0	-2	+7	-0.4
2028	20	MLB MLE	DET	48%	415	382	82	16	3	15	25	142	5	7	2	215	272	390	662	175	291	34	6	292	84	-8	+1	-0	-2	+9	-0.1
2029	21	MLB MLE	DET	54%	499	459	101	19	4	20	31	166	6	9	3	220	278	410	688	190	293	33	6	300	89	-6	+1	-0	-3	+11	0.2
2030	22	MLB MLE	DET	57%	556	509	114	22	4	23	35	182	7	10	3	224	283	418	702	194	294	33	6	306	94	-4	+1	-0	-3	+12	0.5
2031	23	MLB MLE	DET	58%	595	545	122	23	4	25	38	194	7	11	3	224	283	418	701	194	295	33	6	311	96	-3	+1	-0	-4	+13	0.7
2032	24	MLB MLE	DET	57%	620	567	128	24	4	27	40	202	8	11	4	226	286	425	711	199	296	33	6	314	99	-1	+1	-0	-4	+13	0.9
2033	25	MLB MLE	DET	57%	631	577	131	25	4	28	41	205	8	12	4	227	288	430	717	203	296	32	6	316	100	+0	+1	-1	-4	+14	1.0
2034	26	MLB MLE	DET	57%	637	583	133	25	4	29	41	207	8	12	4	228	288	434	722	206	296	32	6	317	101	+1	+1	-1	-4	+14	1.1
2035	27	MLB MLE	DET	55%	636	581	132	25	4	29	42	207	8	12	4	227	288	434	722	207	296	33	7	317	101	+1	+1	-1	-4	+14	1.1
2036	28	MLB MLE	DET	55%	631	576	130	24	4	29	42	206	8	11	3	226	288	432	720	207	295	33	7	316	100	+0	+1	-1	-4	+14	1.0
2037	29	MLB MLE	DET	58%	620	565	128	24	4	28	42	204	8	11	3	227	289	432	721	205	294	33	7	314	99	-1	+1	-2	-4	+13	0.8
2038	30	MLB MLE	DET	60%	609	555	124	23	4	27	41	202	8	10	3	223	286	425	712	202	293	33	7	312	97	-2	+1	-3	-4	+13	0.6
2039	31	MLB MLE	DET	62%	595	543	120	22	4	26	40	199	7	10	3	221	283	420	703	199	290	33	7	308	94	-4	+1	-3	-4	+13	0.3
2027	19	MLB CTX	DET	34%	103	95	19	4	1	3	6	36	1	2	1	200	255	358	613	158	284	35	6	267	75	-3	+0	-0	-1	+2	-0.2
2028	20	MLB CTX	DET	48%	201	185	38	7	1	7	12	69	2	4	1	205	261	368	629	162	286	34	6	277	84	-4	+0	-0	-1	+4	-0.1
2029	21	MLB CTX	DET	54%	271	249	53	10	2	10	17	90	3	5	2	213	271	390	661	177	287	33	6	285	89	-3	+0	-0	-2	+6	0.1
2030	22	MLB CTX	DET	57%	315	288	62	12	2	12	20	103	4	6	2	215	276	396	671	181	289	33	6	291	94	-2	+0	-0	-2	+7	0.3
2031	23	MLB CTX	DET	58%	343	314	69	13	2	14	22	112	4	6	2	220	279	408	687	188	289	33	6	295	96	-1	+0	-0	-2	+7	0.4
2032	24	MLB CTX	DET	57%	353	323	72	13	3	15	23	115	4	6	2	223	283	421	704	198	290	33	7	298	99	-1	+0	-0	-2	+8	0.5
2033	25	MLB CTX	DET	57%	358	327	74	14	3	15	23	116	5	7	2	226	287	425	712	199	291	32	6	300	100	+0	+1	-0	-2	+8	0.6
2034	26	MLB CTX	DET	57%	360	329	75	14	3	16	23	117	5	7	2	228	289	435	723	207	290	32	6	301	101	+0	+1	-0	-2	+8	0.6
2035	27	MLB CTX	DET	55%	353	322	71	13	2	15	23	115	5	7	2	220	283	413	696	193	290	33	7	301	101	+0	+1	-0	-2	+8	0.6
2036	28	MLB CTX	DET	55%	347	317	70	13	2	15	23	113	4	6	2	221	282	416	698	196	290	33	7	300	100	+0	+0	-1	-2	+8	0.5
2037	29	MLB CTX	DET	58%	360	328	71	13	2	15	24	118	5	6	2	216	280	405	686	189	289	33	7	299	99	-0	+0	-1	-2	+8	0.5
2038	30	MLB CTX	DET	60%	367	334	73	13	2	16	25	122	5	6	2	219	283	413	696	195	287	33	7	296	97	-1	+0	-2	-2	+8	0.3
2039	31	MLB CTX	DET	62%	367	334	71	13	2	15	25	123	5	6	2	213	277	398	676	186	285	34	7	292	94	-2	+0	-2	-2	+8	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4098	3745	818	152	27	168	266	1349	52	74	24	218	280	408	688	190	289	33	6	295	95	-18	+5	-7	-25	+89	4.5
/ 162G	—	A+C		—	650	594	130	24	4	27	42	214	8	12	4	219	280	409	689	190	289	33	6	295	95	-3	+1	-1	-4	+14	0.7
Career	—	MLE		—	7556	6918	1545	292	50	324	483	2493	91	142	43	223	283	420	703	197	295	33	6	309	95	-37	+10	-13	-44	+160	7.7
/ 162G	—	MLE		—	650	595	133	25	4	28	42	214	8	12	4	224	284	420	704	197	294	33	6	309	95	-3	+1	-1	-4	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Colby Rasmuslast yr '17 career totals — 9 seasons, 4,070 PA	6.1	4,070	165	35	242	311	438	-0	+8	16.7	16.2
/162	664	27	6	-0.0	+1.3	2.7	pk7: 16
#2Rougned Odorlast yr '23 career totals — 10 seasons, 4,424 PA	6.7	4,424	178	70	230	288	422	+16	+32	15.2	15.0
/162	664	27	11	+2.4	+4.9	2.3	pk7: 15
#3Adam Duvalllast yr '24 career totals — 11 seasons, 3,723 PA	5.6	3,723	195	22	227	287	459	-31	+11	11.0	11.8
/162	664	35	4	-5.5	+2.0	2.0	pk7: 13
#4Pedro Álvarezlast yr '18 career totals — 8 seasons, 3,287 PA	5.0	3,287	161	15	235	309	447	+1	-40	10.0	10.2
/162	664	33	3	+0.2	-8.0	2.0	pk7: 10
#5Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.5	4,294	183	77	225	281	422	-26	+8	7.5	6.6
/162	664	28	12	-4.0	+1.2	1.2	pk7: 6
#6Gregory 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

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
Cris Rodriguez (OGILVIE)	18	26→40	50→64	52→49	33	195/245/349	153	286	6	5	37%	5%	65	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Esmerlyn Valdez 2022 · A	18	42→43	45→55	48→30	39	205/275/323	119	306	12	7	35%	7%	70	-0.8	194/272/316	122	299	13	5	37%	8%	68	-1.0	202/297/392	190	283	25	2	36%	10%	92	+0.6
✕Jhonkensy Noel 2019 · A	18	37→40	46→55	44→45	40	193/268/316	123	267	14	7	32%	6%	67	-1.1	216/270/350	134	284	16	7	29%	5%	74	-0.5	203/254/375	172	260	23	4	32%	5%	74	-0.3
✕Jesus Vasquez 2010 · A	18	41	43→55	45→55	40	203/255/316	114	272	9	8	29%	5%	60	-1.6	209/267/336	127	280	13	13	29%	6%	70	-0.9	206/270/350	143	270	16	18	29%	6%	76	-0.2
✕Jesús Báez 2023 · A	18	39→40	44→55	44→45	43	197/263/310	113	267	13	9	30%	8%	63	-1.4	199/261/321	122	254	13	9	26%	7%	64	-1.3	217/271/392	175	242	26	8	23%	6%	83	+0.1
✕Ronarsy Ledesma 2011 · A	18	44	44→45	53→50	41	217/277/335	118	288	11	9	28%	6%	73	-0.6	219/286/320	101	286	6	11	24%	6%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
●Gabriel Gonzalez 2022 · A	18	43→53	46→50	51→45	43	216/277/350	134	270	12	10	25%	6%	77	-0.3	235/294/358	123	286	13	8	22%	5%	85	+0.2	253/307/381	128	303	13	6	20%	5%	92	+0.6
✕Nelson Velázquez 2018 · A	19	40→38	49→60	49→50	37	198/260/347	149	322	18	9	42%	7%	70	-0.9	196/243/287	91	335	8	7	41%	6%	49	-2.4	201/271/385	185	259	25	12	32%	8%	82	-0.0
●Jackson Chourio 2023 · AA	19	42→52	50→60	51→55	37	215/262/367	152	302	17	12	34%	6%	75	-0.5	250/295/412	162	311	18	23	25%	6%	97	+1.1	274/325/460	186	323	22	21	22%	7%	115	+2.3
✕Yunior Garcia 2019 · A	18	37→47	43→50	52→30	40	187/247/297	110	260	10	10	31%	6%	53	-2.1	196/245/302	106	303	10	7	37%	5%	53	-2.1	225/276/346	121	319	13	2	32%	5%	71	-0.3
✕José Osuna 2011 · A	18	39→49	48→55	40→45	42	205/254/344	139	238	16	5	22%	5%	67	-1.1	221/264/343	122	261	12	6	20%	5%	70	-0.9	250/299/416	166	288	16	4	19%	6%	98	+0.8
✕Tommy Joseph 2011 · A	20	38→47	48→60	47→30	35	203/241/338	135	265	17	3	30%	4%	60	-1.6	215/257/348	133	275	16	2	27%	4%	68	-1.0	240/291/436	196	274	27	1	23%	6%	100	+1.0
✕Aderlin Rodríguez 2011 · A	19	44→48	49→55	45→30	40	227/269/372	145	280	17	4	26%	5%	78	-0.3	207/243/347	140	252	18	3	26%	4%	63	-1.4	238/283/415	178	287	23	1	26%	4%	92	+0.5
●Mark Vientos 2019 · A	19	42→50	46→60	43→30	45	215/275/340	125	273	14	3	26%	7%	74	-0.6	209/254/346	137	287	16	2	32%	5%	68	-1.0	243/303/441	198	304	26	1	28%	7%	106	+1.5
✕Jeral Perez 2023 · A	18	42→41	47→50	48→45	46	213/279/350	137	263	14	7	24%	8%	77	-0.3	204/280/347	143	276	17	7	31%	8%	78	-0.3	195/269/342	147	260	18	6	31%	8%	70	-0.6
✕Renato Núñez 2013 · A	19	44→51	43→60	49→30	39	216/264/333	117	285	9	5	27%	4%	68	-1.0	212/252/349	137	278	17	3	30%	4%	67	-1.1	229/300/429	200	270	28	1	26%	7%	102	+1.0
●Jo Adell 2018 · A	19	46	42→65	55→50	36	223/264/339	116	318	8	9	32%	4%	68	-1.0	222/272/373	151	319	16	10	34%	5%	80	-0.1	226/289/423	196	264	28	9	26%	6%	97	+1.0
●Miguel Sanó 2012 · A	19	39→49	53→70	45	36	208/254/381	173	295	20	5	36%	5%	76	-0.4	212/287/413	201	296	25	6	35%	9%	95	+1.0	243/334/470	227	339	30	2	35%	11%	122	+2.7
✕Alexander Canario 2019 · A	19	41→34	42→60	47→50	44	201/268/307	106	272	10	12	29%	7%	63	-1.3	210/265/358	148	294	18	11	33%	6%	74	-0.5	201/270/393	193	274	26	13	36%	8%	82	-0.0
✕Orelvis Martinez 2021 · A	19	42→34	47→60	53→40	42	213/270/351	139	273	14	6	27%	6%	74	-0.5	198/263/384	186	253	25	4	32%	7%	80	-0.1	183/252/373	190	223	27	3	32%	7%	72	-0.6

Career Stats + Projections

Career Comps

Career Path Comps