Fernando Cruz — OGILVIE

Fernando CruzSS ACL Cubs

Age 19 R/R 5'9" / 155 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION280 act + 9 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%44

BB%11

BABIP281

ISO122

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$15M ctrl surplus

Tools · ContractCON 40 / POW 50

Toolsscout grade

CONTACT40

scouting grade only

POWER50

scouting grade only

EYE48

scouting grade only

SPEED60

scouting grade only

DEFENSE60

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	+0.4	$1M	+$0.5M
2033	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.5M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$4M	+$1M

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)
2024	17	ROK	DSL Cubs Red	—	92	79	17	3	0	2	10	25	3	11	1	215	326	329	655	114	288	27	11	305	93	-1	+2	—	—	+2	0.3
2025	18	ROK	ACL Cubs	—	89	79	13	3	0	3	7	42	2	5	1	165	250	316	566	152	286	47	8	256	59	-4	+1	—	—	+2	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Cubs Red	—	92	83	11	2	0	1	6	37	3	11	1	133	217	193	410	60	221	40	7	193	17	-9	+2	—	—	+2	-0.5
2025	18	ROK MLE	ACL Cubs	—	89	82	6	1	0	2	4	62	2	5	1	73	136	159	295	85	220	70	4	130	-26	-13	+1	—	—	+2	-1.1
2024	17	ROK MLE	DSL Cubs Red	—	92	83	11	2	0	1	6	37	3	11	1	133	217	193	410	60	222	40	7	193	17	—	—	—	—	—	—
2024	17	ROK RAW	DSL Cubs Red	—	92	79	17	3	0	2	10	25	3	11	1	215	326	329	655	114	288	27	11	305	17	—	—	—	—	—	—
2025	18	ROK MLE	ACL Cubs	—	89	82	6	1	0	2	4	62	2	5	1	73	136	159	295	85	211	70	4	130	-26	—	—	—	—	—	—
2025	18	ROK RAW	ACL Cubs	—	89	79	13	3	0	3	7	42	2	5	1	165	250	316	566	152	286	47	8	256	-26	—	—	—	—	—	—
2024	17	ROK MLE	DSL Cubs Red	—	92	83	11	2	0	1	6	37	3	11	1	133	217	193	410	60	221	40	7	193	17	—	—	—	—	—	—
2025	18	ROK MLE	ACL Cubs	—	89	83	6	1	0	2	4	62	2	5	1	72	136	157	293	84	220	70	4	130	-26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	17	ROK MLE	DSL Cubs Red	—	92	83	11	2	0	1	6	37	3	11	1	133	217	193	410	60	221	40	7	193	17	—	—	—	—	—	—
2025	18	ROK MLE	ACL Cubs	—	89	83	6	1	0	2	4	62	2	5	1	72	136	157	293	84	220	70	4	130	-26	—	—	—	—	—	—
YTD	19	ROK MLE	CHC	—	280	257	37	6	3	9	17	149	4	10	5	144	209	296	504	152	277	53	6	219	34	-22	+0	+0	+3	+6	-1.3
▸ 2026 season
YTD	19	ROK RAW	CHC	—	222	192	48	8	5	13	26	79	3	9	4	250	348	547	895	297	347	36	12	386	34	—	—	—	—	—	—
YTD	19	A RAW	CHC	—	58	53	10	2	0	1	3	25	1	1	1	189	246	283	529	94	321	43	5	238	34	—	—	—	—	—	—
ROS	19	ROK MLE	CHC	0%	9	8	1	0	0	0	1	4	0	0	0	125	222	125	347		278	44	11	247	53	-0	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	CHC	—	289	265	38	6	3	9	18	153	4	10	5	143	209	291	500	147	276	53	6	220	35	-22	+0	+0	+3	+6	-1.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	CHC	25%	306	279	51	9	2	8	20	117	4	6	2	183	248	315	563	133	282	38	7	260	62	-14	+0	+2	+3	+7	-0.1
2028	21	MLB MLE	CHC	38%	414	377	73	13	3	12	29	152	5	9	3	194	260	340	600	146	284	37	7	269	68	-16	+1	+3	+4	+9	0.2
2029	22	MLB MLE	CHC	45%	486	443	89	16	4	15	34	174	6	11	4	201	267	357	624	156	285	36	7	275	72	-16	+1	+4	+5	+11	0.4
2030	23	MLB MLE	CHC	49%	531	481	97	17	4	16	38	187	7	13	4	202	270	353	623	152	286	35	7	278	74	-16	+1	+4	+6	+12	0.6
2031	24	MLB MLE	CHC	50%	558	506	102	18	4	17	40	196	7	14	5	202	269	354	623	152	287	35	7	280	76	-16	+1	+4	+6	+12	0.7
2032	25	MLB MLE	CHC	51%	574	519	106	19	4	18	42	202	8	14	5	204	274	360	634	156	287	35	7	281	76	-16	+1	+5	+6	+12	0.8
2033	26	MLB MLE	CHC	51%	580	525	106	19	4	18	42	204	8	14	5	202	271	356	627	154	287	35	7	281	76	-16	+1	+5	+6	+13	0.8
2034	27	MLB MLE	CHC	50%	580	524	106	19	4	18	43	204	8	14	5	202	273	357	630	155	287	35	7	281	77	-16	+1	+5	+6	+13	0.8
2035	28	MLB MLE	CHC	50%	575	519	105	19	4	18	43	203	8	14	5	202	274	358	632	156	286	35	7	281	76	-16	+1	+4	+6	+12	0.7
2036	29	MLB MLE	CHC	49%	565	511	102	18	4	17	42	201	7	13	4	200	270	350	620	151	286	36	7	279	75	-17	+1	+3	+6	+12	0.6
2027	20	MLB CTX	CHC	25%	76	70	13	2	1	2	5	29	1	2	1	186	250	329	579	143	285	38	7	251	62	-3	+0	+1	+1	+2	-0.0
2028	21	MLB CTX	CHC	38%	158	144	27	5	1	4	11	58	2	4	1	188	255	319	574	132	287	37	7	260	68	-6	+0	+1	+2	+3	0.1
2029	22	MLB CTX	CHC	45%	221	200	40	7	2	6	16	79	3	5	2	200	269	345	614	145	288	36	7	265	72	-7	+0	+2	+2	+5	0.2
2030	23	MLB CTX	CHC	49%	262	238	48	9	2	8	19	92	3	6	2	202	269	357	626	155	289	35	7	269	74	-8	+0	+2	+3	+6	0.3
2031	24	MLB CTX	CHC	50%	281	255	51	9	2	8	20	99	4	7	2	200	269	345	614	145	290	35	7	270	76	-8	+1	+2	+3	+6	0.4
2032	25	MLB CTX	CHC	51%	292	265	54	10	2	9	21	103	4	7	2	204	272	358	631	155	290	35	7	271	76	-8	+1	+2	+3	+6	0.4
2033	26	MLB CTX	CHC	51%	297	269	55	10	3	9	22	104	4	7	2	204	275	364	639	160	289	35	7	271	76	-8	+1	+2	+3	+6	0.4
2034	27	MLB CTX	CHC	50%	293	265	54	10	2	9	22	103	4	7	2	204	275	358	633	155	289	35	8	272	77	-8	+1	+2	+3	+6	0.4
2035	28	MLB CTX	CHC	50%	288	261	52	9	2	9	21	102	4	7	2	199	269	352	622	153	289	35	7	271	76	-8	+1	+2	+3	+6	0.4
2036	29	MLB CTX	CHC	49%	275	248	50	9	2	8	21	98	4	6	2	202	275	351	626	149	288	36	8	269	75	-8	+0	+1	+3	+6	0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2443	2215	444	80	19	72	178	867	33	58	18	200	270	351	621	151	289	35	7	269	71	-74	+4	+18	+26	+53	2.8
/ 162G	—	A+C		—	650	589	118	21	5	19	47	231	9	15	5	200	269	350	619	149	290	36	7	269	71	-20	+1	+5	+7	+14	0.8
Career	—	MLE		—	5359	4857	955	170	37	160	384	1943	73	138	44	197	266	346	611	149	286	36	7	274	71	-160	+8	+39	+55	+112	5.5
/ 162G	—	MLE		—	650	589	115	21	4	19	47	236	9	17	5	195	265	341	606	146	285	36	7	274	71	-20	+1	+5	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny 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
#2Jake Marisnicklast yr '23 career totals — 10 seasons, 2,213 PA	3.3	2,213	63	81	227	280	381	+5	+54	8.3	8.1
/162	664	19	24	+1.4	+16.2	2.5	pk7: 8
#3Sandy 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
#4J.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
#5Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,585	78	61	202	267	354	+28	+24	2.5	2.4
/162	664	20	16	+7.1	+6.2	0.6	pk7: 2
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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
Fernando Cruz (OGILVIE)	19	40	50	60	48	176/238/308	131	278	4	4	40%	6%	53	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕George Feliz 2022 · A	19	42	43→50	54→45	40	207/264/320	113	297	11	10	33%	7%	64	-1.3	172/234/263	91	308	8	13	44%	6%	40	-3.0	164/227/275	111	272	14	9	43%	6%	39	-1.1
✕Carlos Jimenez 2022 · A	19	38→41	42→50	53→55	44	186/268/288	102	275	10	11	34%	9%	60	-1.6	201/285/320	119	319	11	16	37%	10%	73	-0.6	220/298/374	155	300	18	18	31%	9%	87	+0.3
✕Mairoshendrick Martinus 2023 · A	18	41→47	45→50	51→50	40	204/262/329	125	283	12	11	31%	6%	66	-1.1	178/230/270	92	317	9	13	44%	6%	40	-3.1	200/244/320	120	298	14	17	37%	5%	55	-1.2
✕Wendell Rijo 2015 · A	19	42→43	41→50	51→50	44	205/270/309	104	282	7	12	28%	7%	64	-1.3	200/251/288	88	282	6	11	30%	6%	52	-2.2	208/265/349	141	264	16	14	28%	6%	69	-0.6
✕Brayan Buelvas 2022 · A	20	37→43	45	51→55	40	193/254/318	125	267	13	13	32%	6%	61	-1.5	189/251/316	127	262	13	17	32%	6%	59	-1.6	197/258/324	127	284	12	14	34%	7%	60	-1.1
✕Jorge Alcantara 2011 · A	19	45	41→45	51→50	43	216/278/319	103	302	7	11	30%	7%	70	-0.9	198/267/295	97	299	7	13	33%	8%	60	-1.6	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Bryan Ramos 2022 · A	20	40→42	45→50	49→50	41	200/269/322	122	272	12	8	30%	6%	68	-1.0	213/273/348	135	267	17	5	26%	6%	75	-0.5	208/267/338	130	255	17	5	26%	6%	68	-0.8
✕Sean Coyle 2013 · A	21	38→36	45→50	54→50	38	193/255/316	124	276	12	13	34%	6%	61	-1.5	204/262/352	148	296	18	14	36%	6%	72	-0.7	194/255/352	157	279	21	15	37%	7%	68	-0.5
✕Kevin Padlo 2016 · A	20	38→40	46→50	50	46	194/272/327	133	266	12	8	31%	9%	70	-0.8	183/267/307	124	271	12	8	34%	10%	64	-1.3	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕José Rodríguez 2021 · A	20	42→52	43→50	52→55	37	212/244/323	111	275	11	11	28%	4%	57	-1.8	241/273/367	126	290	13	24	21%	4%	78	-0.3	239/270/366	127	286	14	29	22%	4%	74	-0.5
✕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
✕Che-Hsuan Lin 2008 · A	19	40→50	42→40	56→55	40	199/252/310	111	278	8	14	30%	6%	57	-1.8	223/287/309	86	277	6	19	20%	7%	70	-0.8	233/303/306	73	281	5	22	18%	8%	73	-0.6
✕Claudio Bautista 2013 · A	19	41→42	43→45	51→45	44	205/262/313	109	266	11	12	27%	7%	62	-1.4	201/239/309	108	274	10	8	29%	4%	53	-2.1	192/237/291	99	265	11	5	31%	5%	46	-1.6
✕Cayden Wallace 2023 · A	21	46→48	42→50	56→50	42	223/275/338	115	301	9	15	28%	6%	72	-0.7	214/270/329	115	284	10	12	27%	6%	69	-0.9	226/275/366	139	277	16	14	24%	5%	77	-0.3
✕Gilberto Celestino 2018 · A	19	42→52	39→45	53→55	42	202/258/287	85	283	6	12	30%	7%	54	-2.0	216/266/306	90	282	7	10	24%	6%	61	-1.5	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Gleider Figuereo 2023 · A	19	38→36	46→45	53→45	43	194/261/322	128	260	13	8	30%	7%	64	-1.3	181/240/291	110	277	13	6	38%	6%	49	-2.4	171/234/297	126	236	17	6	35%	7%	46	-2.1
✕Luis Alexander Basabe 2017 · A	20	43	44→45	56→50	40	212/263/340	128	300	10	15	32%	6%	68	-1.0	198/257/303	105	303	9	14	35%	7%	58	-1.7	196/266/304	108	307	10	14	37%	8%	59	-0.9
✕Yordalin Peña 2023 · A	18	41→38	40→55	56→55	37	198/247/291	93	281	6	10	31%	5%	51	-2.2	189/248/281	92	276	6	12	32%	6%	49	-2.4	184/245/315	131	287	12	17	38%	6%	55	-1.1
✕Angel Aponte 2019 · A	19	41	41→45	56→55	40	203/267/304	101	272	9	20	28%	6%	63	-1.4	209/267/303	94	296	7	19	30%	6%	61	-1.5	204/264/295	91	289	8	25	30%	6%	57	-0.7

Career Stats + Projections

Career Comps

Career Path Comps