Cris Rodriguez

OF FCL Tigers

Age 19 R/R 6'3" / 203 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2036

Overview

ROKPROSPECTMiLBFA 2037

OGV OFP35OGV rank#1532ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Tigers 2	188	.308/.350/.564	10	10	45	—	.189/.224/.326
2026	18	A/ROKDET	230	.285/.354/.570	12	8	55	—	.177/.231/.358
2027PROJMLE	19	MLBDET	340	.204/.255/.339	9	6	65	-0.3
2028PROJ34% MLB	20	MLBDET	65	.207/.260/.350	2	1	73	-0.1
2029PROJ48% MLB	21	MLBDET	148	.212/.268/.367	5	3	80	-0.1

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$2M+2

Skills · percentileMiLB Statcast 2026 Rk

ISO93

Speed82

wRC+68

wOBA57

Whiff%19

BB%12

Career WAR0.0 WAR median (P10 -0.1 / P90 16, comp-based) · star 2% · didn't stick 83%

CompsEsmerlyn Valdez (age 19) · Nelson Velázquez (age 19) · Aristides Aquino (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 134 proj PA

wRC+†65

AVG/OBP/SLG.202 / .253 / .336

PA134

HR3

K%32

BB%6

ISO135

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

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
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	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.4	$1M	+$0.5M
2034	Arb-1	$2M	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-2	$4M	+0.4	$0.9M	+$0.0M (cut)
2036	Arb-3	$4M	+0.3	$0.6M	+$0.0M (cut)
Totals		$2M		$5M	+$0.8M

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. 2027 = full-season projection (no games played yet). 2028+ 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	45	—	—	—	—	—	—
2026	18	A	Lakeland Flying Tigers	—	33	32	11	4	1	3	1	13	0	0	1	344	364	812	1.176	469	500	39	3	497	108	—	—	—	—	—	—
2026	18	ROK	FCL Tigers	—	197	175	48	11	3	9	18	64	3	8	2	274	352	526	878	251	379	32	9	381	46	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Tigers 2	—	188	175	33	7	1	5	8	52	0	10	2	189	224	326	550	137	222	28	4	235	45	—	—	—	—	—	—
2026	18	A MLE	Lakeland Flying Tigers	—	33	32	8	3	1	2	1	18	0	0	1	250	273	594	866	344	445	55	3	328	108	—	—	—	—	—	—
2026	18	ROK MLE	FCL Tigers	—	197	182	30	6	2	6	11	92	3	8	2	165	224	319	543	154	283	47	6	236	46	—	—	—	—	—	—
2025	17	ROK MLE	DSL Tigers 2	—	188	175	33	7	1	5	8	52	0	10	2	189	224	326	550	137	228	28	4	235	45	—	—	—	—	—	—
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	45	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	230	214	38	9	2	8	12	110	3	8	3	178	231	350	582	173	309	48	5	249	55	—	—	—	—	—	—
2026	18	ROK RAW	2 teams	—	230	207	59	15	4	12	19	77	3	8	3	285	354	570	924	285	395	33	8	398	55	—	—	—	—	—	—
2025	17	ROK MLE	DSL Tigers 2	—	188	178	33	7	1	5	8	52	0	10	2	185	224	320	544	135	222	28	4	235	45	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	230	213	38	9	2	8	12	110	3	8	3	178	231	352	584	174	306	48	5	249	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Tigers 2	—	188	178	33	7	1	5	8	52	0	10	2	185	224	320	544	135	222	28	4	235	45	—	—	—	—	—	—
2026	18	ROK MLE	2 teams	—	230	213	38	9	2	8	12	110	3	8	3	178	231	352	584	174	306	48	5	249	55	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	DET	0%	340	315	64	12	2	9	19	109	3	6	2	204	255	339	594	135	277	32	6	264	65	-14	+0	-1	-2	+7	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	DET	34%	189	174	36	7	1	5	11	59	2	3	1	211	264	359	623	148	280	31	6	276	73	-6	+0	-0	-1	+4	-0.3
2029	21	MLB MLE	DET	48%	306	282	61	11	2	10	18	94	3	6	2	216	272	377	648	160	282	31	6	287	80	-7	+0	-1	-2	+7	-0.3
2030	22	MLB MLE	DET	54%	402	370	82	15	3	14	25	121	4	8	3	221	278	391	668	169	284	30	6	295	86	-7	+0	-0	-2	+9	-0.1
2031	23	MLB MLE	DET	57%	462	425	95	17	3	17	29	136	5	9	3	225	283	401	684	176	286	29	6	301	90	-5	+1	-0	-3	+10	0.2
2032	24	MLB MLE	DET	57%	500	459	104	19	3	19	32	145	5	9	3	228	287	410	697	181	287	29	6	307	94	-4	+1	+0	-3	+11	0.5
2033	25	MLB MLE	DET	57%	522	478	111	20	4	21	34	152	5	10	3	230	288	416	704	186	287	29	7	309	95	-3	+1	+1	-3	+11	0.7
2034	26	MLB MLE	DET	56%	533	488	113	20	4	22	35	155	5	10	3	230	289	420	708	189	287	29	7	311	97	-2	+1	+1	-3	+12	0.8
2035	27	MLB MLE	DET	55%	534	489	113	20	4	22	35	156	5	9	3	229	288	417	705	188	287	29	7	310	96	-3	+1	+1	-3	+12	0.7
2036	28	MLB MLE	DET	55%	530	486	111	20	3	21	34	156	5	9	3	228	286	412	698	185	286	29	6	307	94	-4	+1	+0	-3	+11	0.5
2037	29	MLB MLE	DET	53%	518	475	107	19	3	20	33	154	5	8	3	225	283	406	689	181	284	30	6	303	91	-5	+0	-1	-3	+11	0.3
2028	20	MLB CTX	DET	34%	65	60	12	2	0	2	4	20	1	1	0	207	260	350	610	143	276	31	6	271	73	-2	+0	-0	-0	+1	-0.1
2029	21	MLB CTX	DET	48%	148	136	29	5	1	5	9	45	2	3	1	212	268	367	635	155	278	30	6	281	80	-3	+0	-0	-1	+3	-0.1
2030	22	MLB CTX	DET	54%	218	201	43	8	1	7	13	65	2	4	1	217	274	380	654	163	279	30	6	289	86	-4	+0	-0	-1	+5	-0.0
2031	23	MLB CTX	DET	57%	262	240	53	9	2	9	17	77	3	5	2	221	278	391	669	170	281	29	6	295	90	-3	+0	-0	-2	+6	0.1
2032	24	MLB CTX	DET	57%	283	260	57	10	2	10	18	82	3	5	2	224	283	399	682	175	282	29	6	300	94	-2	+0	+0	-2	+6	0.3
2033	25	MLB CTX	DET	57%	295	271	61	11	2	11	19	86	3	5	2	225	284	404	688	179	282	29	6	303	95	-2	+0	+0	-2	+6	0.4
2034	26	MLB CTX	DET	56%	301	275	63	11	2	12	20	88	3	5	2	226	284	408	693	182	282	29	7	305	97	-1	+0	+0	-2	+7	0.4
2035	27	MLB CTX	DET	55%	296	272	61	11	2	11	19	87	3	5	2	225	283	406	689	181	282	29	6	303	96	-2	+0	+0	-2	+6	0.4
2036	28	MLB CTX	DET	55%	291	267	59	10	2	11	19	86	3	5	2	223	281	401	683	178	281	30	7	301	94	-2	+0	+0	-2	+6	0.3
2037	29	MLB CTX	DET	53%	277	254	56	10	2	10	18	82	3	4	2	221	279	395	674	175	279	30	6	297	91	-3	+0	-0	-2	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2436	2236	494	87	16	88	156	718	26	42	16	221	280	392	672	171	282	29	6	298	87	-24	+2	+0	-15	+53	1.7
/ 162G	—	A+C		—	650	597	131	23	4	23	42	192	7	11	4	219	279	387	666	168	281	30	6	298	87	-6	+1	+0	-4	+14	0.5
Career	—	MLE		—	5048	4640	1029	189	34	187	313	1533	48	101	33	222	278	398	676	176	285	30	6	297	87	-52	+5	+0	-28	+100	2.7
/ 162G	—	MLE		—	650	597	132	24	4	24	40	197	6	13	4	221	276	395	672	174	284	30	6	297	87	-7	+1	+0	-4	+14	0.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 ROKFCL Tigers · 197 PAwOBA .373 → .236 (−137)K% 32.5% → 46.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.49%	÷1.000	×1.440	—	—	46.78%
BB% (unintentional) /PA	9.14%	÷1.000	×0.620	—	×1.022	5.79%
HBP% /PA	1.52%	—	×0.720	—	×1.022	1.12%
Singles /BIP	22.52%	÷1.000	×0.820	×0.950	×1.022	17.94%
Doubles /BIP	9.91%	÷1.000	×0.720	×0.950	×1.022	6.93%
Triples /BIP	2.70%	÷1.000	×0.720	×0.950	×1.022	1.89%
Home runs /BIP	8.11%	÷1.000	×0.780	—	×1.022	6.47%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .373 → .236; ISO .251 → .157; BABIP .379 → .283. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2026 ALakeland Flying Tigers · 33 PAwOBA .482 → .328 (−154)K% 39.4% → 53.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	39.39%	÷1.000	×1.360	—	—	53.58%
BB% (unintentional) /PA	3.03%	÷1.000	×0.690	—	×1.050	2.20%
HBP% /PA	0.00%	—	×0.780	—	×1.050	0.00%
Singles /BIP	15.79%	÷1.000	×0.920	—	×1.050	15.25%
Doubles /BIP	21.05%	÷1.000	×0.830	—	×1.050	18.35%
Triples /BIP	5.26%	÷1.000	×0.910	—	×1.050	5.03%
Home runs /BIP	15.79%	÷1.000	×0.800	—	×1.050	13.26%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average).

Result: wOBA .482 → .328; ISO .469 → .311; BABIP .500 → .445. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Tigers 2 · 188 PAwOBA .385 → .235 (−150)K% 22.3% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.34%	÷0.991	×1.220	—	—	27.51%
BB% (unintentional) /PA	5.85%	÷0.974	×0.700	—	×1.022	4.30%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	23.08%	÷0.994	×0.680	×0.990	×1.022	15.98%
Doubles /BIP	9.23%	÷0.962	×0.600	×0.990	×1.022	5.83%
Triples /BIP	0.77%	÷0.900	×0.600	×0.990	×1.022	0.52%
Home runs /BIP	7.69%	÷1.048	×0.470	—	×1.022	3.53%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 99, 2B 92, 3B 80, K 98, BB 95 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .385 → .235; ISO .256 → .130; BABIP .344 → .222. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam 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
#2Franklin Stubbs'84-'95 * career totals — 9 seasons, 2,899 PA	4.4	2,899	104	74	229*	301*	428*	-43	+18	6.0	6.2
/162	664	24	17	-9.8	+4.2	1.4	pk7: 6
#3Cory Snyder'86-'94 * career totals — 9 seasons, 3,933 PA	5.9	3,933	149	28	243*	290*	445*	-35	-18	4.7	5.7
/162	664	25	5	-5.9	-3.0	0.8	pk7: 7
#4Michael 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
#5Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,569	97	45	226	280	405	-15	+6	3.1	3.2
/162	664	25	12	-4.0	+1.6	0.8	pk7: 3
#6Karim Garcia'95-'04 * career totals — 6 seasons, 1,560 PA	2.3	1,560	66	10	231*	269*	413*	-16	-3	-1.0	0.1
/162	664	28	4	-6.7	-1.3	-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
Cris Rodriguez (OGILVIE)	19	—	—	—	—	202/253/336	134	277	3	2	32%	6%	65	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Esmerlyn Valdez 2023 · A	19	40→44	42→60	44→30	44	195/277/301	106	276	10	5	31%	8%	66	-1.1	199/274/334	135	301	16	4	37%	8%	73	-0.6	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Nelson Velázquez 2018 · A	19	40→39	49→60	49→50	37	198/261/348	149	323	18	9	42%	7%	70	-0.8	198/245/289	91	338	8	7	41%	6%	50	-2.3	203/275/390	187	263	25	12	32%	8%	85	+0.2
●Aristides Aquino 2015 · A	21	36→41	47→65	50	35	192/232/329	137	256	14	11	31%	4%	55	-2.0	203/241/343	140	272	14	9	30%	4%	61	-1.5	218/281/448	230	271	34	9	33%	7%	100	+0.8
✕Alexander Canario 2019 · A	19	39→36	41→60	47→50	46	193/265/292	98	258	9	12	28%	8%	59	-1.7	209/266/356	147	291	17	11	33%	7%	74	-0.5	210/280/412	202	285	27	13	35%	8%	90	+0.4
✕Max Muncy 2023 · A	20	39→49	47→55	50	41	193/269/328	134	304	15	12	39%	8%	69	-0.9	221/286/348	127	329	13	9	35%	7%	80	-0.2	234/300/394	160	319	20	5	31%	6%	95	+0.5
✕Michael Chavis 2016 · A	20	37→46	45→60	45	33	188/231/313	125	290	13	7	39%	5%	51	-2.3	214/262/367	153	294	18	5	33%	5%	76	-0.4	237/293/439	202	305	28	3	31%	6%	102	+0.9
✕Nehomar Ochoa Jr. 2024 · A	19	43	45→55	50→60	42	213/275/336	123	276	12	8	27%	6%	73	-0.6	185/249/285	100	298	11	14	39%	6%	51	-2.2	174/237/278	104	280	12	21	40%	6%	43	-1.2
✕Orelvis Martinez 2021 · A	19	42→36	47→60	53→40	42	214/272/355	141	275	14	6	27%	6%	76	-0.4	204/272/397	193	262	26	4	32%	7%	86	+0.3	192/264/389	197	235	28	3	32%	7%	80	-0.1
✕Jhonkensy Noel 2021 · A	20	40→42	43→55	47→45	42	202/266/309	107	265	11	7	28%	6%	63	-1.3	222/273/394	172	288	23	5	31%	5%	86	+0.3	200/264/382	182	250	25	1	31%	6%	78	-0.3
✕Ronny Rodríguez 2012 · A	20	41→51	45→55	48→50	35	209/237/345	136	278	11	9	29%	3%	60	-1.6	221/248/349	128	278	13	8	25%	3%	65	-1.2	254/282/422	168	303	21	13	23%	3%	93	+0.7
●Jorge Bonifacio 2012 · A	19	44→51	42→55	47→45	39	213/262/327	114	302	7	8	31%	6%	65	-1.2	228/275/330	102	308	7	5	27%	6%	70	-0.8	243/310/399	156	318	17	3	28%	8%	99	+0.9
✕Eguy Rosario 2019 · A	19	42→52	40→55	48→55	39	205/259/302	97	291	7	13	31%	6%	59	-1.7	227/277/345	118	314	10	16	29%	6%	74	-0.5	240/303/388	148	312	14	21	26%	7%	92	+0.5
●Tommy Joseph 2011 · A	20	40→48	49→60	47→30	35	209/248/349	140	273	17	3	30%	4%	65	-1.2	224/267/362	138	287	16	2	27%	5%	76	-0.4	242/293/442	200	276	27	1	23%	6%	104	+1.2
✕Brandon Snyder 2007 · A	20	39→49	45→55	47→45	37	195/247/320	125	298	13	6	38%	6%	58	-1.7	239/284/362	123	322	12	3	28%	5%	81	-0.1	253/300/383	129	331	12	2	26%	5%	91	+0.6
●Trayce Thompson 2011 · A	20	38→48	43→60	48→50	34	185/237/300	115	306	11	9	42%	6%	50	-2.3	193/253/346	153	287	17	10	37%	6%	68	-1.0	203/291/407	204	286	27	7	37%	10%	95	+0.6
●Jo Adell 2018 · A	19	47	43→65	55→50	36	226/267/343	117	322	9	9	32%	5%	70	-0.8	229/280/388	159	330	17	10	34%	6%	86	+0.3	228/290/425	197	264	28	9	26%	6%	101	+1.3
✕Rodolfo Castro 2019 · A	20	39→42	44→55	47→50	37	198/240/315	117	272	11	5	31%	5%	54	-2.0	203/245/352	149	282	17	6	33%	5%	65	-1.2	211/274/367	156	276	20	7	30%	7%	79	-0.2
✕Joe Benson 2007 · A	19	42→52	42→55	46→50	41	206/257/315	109	278	9	10	28%	6%	61	-1.5	217/287/313	96	326	6	13	33%	7%	72	-0.7	238/316/415	177	327	18	15	31%	8%	104	+1.2
✕Bryan Ramos 2022 · A	20	41→42	45→50	49→50	42	206/277/332	126	281	12	8	30%	7%	73	-0.6	219/279/362	143	273	18	5	26%	6%	80	-0.1	214/275/354	140	261	19	5	25%	6%	74	-0.4
✕Joshua Báez 2022 · A	19	40→48	41→55	54→60	39	186/260/283	97	311	8	10	40%	8%	55	-1.9	181/265/292	111	349	10	21	47%	8%	59	-1.6	211/281/393	182	287	24	33	34%	7%	88	+0.3

Cris Rodriguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps