Ricardo Gonzalez

Ricardo GonzalezSS Bowling Green Hot Rods

Age 22 S/R 5'11" / 186 lbs A+ HR +6%H +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION159 act + 23 ros · stats below = ROS only

showingROS

wRC+†48

AVG/OBP/SLG.190 / .261 / .238

PA23

HR0

K%26

BB%9

BABIP293

ISO48

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 35 / POW 20

Toolsscout grade

CONTACT35

scouting grade only

POWER20

scouting grade only

EYE50

scouting grade only

SPEED55

scouting grade only

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	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Arb-1	$0.6M	—	—	—
2034	Arb-2	$0.7M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.4M	+$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)
2022	18	ROK	DSL Tampa Bay	—	190	168	43	5	4	3	18	32	2	11	5	256	335	387	722	131	296	17	9	322	104	+1	+0	—	—	+4	0.5
2023	19	ROK	FCL Rays	—	186	155	38	7	0	1	29	35	2	4	8	245	371	310	681	65	311	19	16	322	104	+1	-2	—	—	+4	0.3
2024	20	A	Charleston RiverDogs	—	364	316	64	11	0	1	39	75	4	18	3	203	298	247	545	44	259	21	11	257	60	-17	+2	—	—	+8	-0.7
2025	21	A	Charleston RiverDogs	—	431	366	82	10	2	0	54	81	4	23	7	224	330	262	592	38	285	19	13	278	75	-13	+2	—	—	+9	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	18	ROK MLE	DSL Tampa Bay	—	190	175	34	4	3	2	11	47	2	11	5	194	250	286	536	91	243	25	6	232	43	-13	+0	—	—	+4	-0.9
2023	19	ROK MLE	FCL Rays	—	186	165	31	5	0	1	19	50	2	4	8	188	280	236	516	48	258	27	10	234	45	-12	-2	—	—	+4	-1.1
2024	20	A MLE	Charleston RiverDogs	—	364	332	54	9	0	1	23	108	4	18	3	163	226	199	424	36	226	30	6	194	17	-36	+2	—	—	+8	-2.6
2025	21	A MLE	Charleston RiverDogs	—	431	386	76	10	1	0	34	114	4	23	7	197	269	228	497	31	271	26	8	229	41	-30	+2	—	—	+9	-1.9
2022	18	ROK MLE	DSL Tampa Bay	—	190	175	34	4	3	2	11	47	2	11	5	194	250	286	536	91	250	25	6	232	43	—	—	—	—	—	—
2022	18	ROK RAW	DSL Tampa Bay	—	190	168	43	5	4	3	18	32	2	11	5	256	335	387	722	131	296	17	9	322	43	—	—	—	—	—	—
2023	19	ROK MLE	FCL Rays	—	186	165	31	5	0	1	19	50	2	4	8	188	280	236	516	48	263	27	10	234	45	—	—	—	—	—	—
2023	19	ROK RAW	FCL Rays	—	186	155	38	7	0	1	29	35	2	4	8	245	371	310	681	65	311	19	16	322	45	—	—	—	—	—	—
2024	20	A MLE	Charleston RiverDogs	—	364	332	54	9	0	1	23	108	4	18	3	163	226	199	424	36	235	30	6	194	17	—	—	—	—	—	—
2024	20	A RAW	Charleston RiverDogs	—	364	316	64	11	0	1	39	75	4	18	3	203	298	247	545	44	259	21	11	257	17	—	—	—	—	—	—
2025	21	A MLE	Charleston RiverDogs	—	431	386	76	10	1	0	34	114	4	23	7	197	269	228	497	31	276	26	8	229	41	—	—	—	—	—	—
2025	21	A RAW	Charleston RiverDogs	—	431	366	82	10	2	0	54	81	4	23	7	224	330	262	592	38	285	19	13	278	41	—	—	—	—	—	—
2022	18	ROK MLE	DSL Tampa Bay	—	190	175	34	4	3	2	11	47	2	11	5	194	250	286	536	91	243	25	6	232	43	—	—	—	—	—	—
2023	19	ROK MLE	FCL Rays	—	186	163	31	5	0	1	19	50	2	4	8	190	280	239	519	49	258	27	10	234	45	—	—	—	—	—	—
2024	20	A MLE	Charleston RiverDogs	—	364	334	54	9	0	1	23	108	4	18	3	162	226	198	423	36	226	30	6	194	17	—	—	—	—	—	—
2025	21	A MLE	Charleston RiverDogs	—	431	390	76	10	1	0	34	114	4	23	7	195	269	226	495	31	271	26	8	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Rays	—	186	163	31	5	0	1	19	50	2	4	8	190	280	239	519	49	258	27	10	234	45	—	—	—	—	—	—
2024	20	A MLE	Charleston RiverDogs	—	364	334	54	9	0	1	23	108	4	18	3	162	226	198	423	36	226	30	6	194	17	—	—	—	—	—	—
2025	21	A MLE	Charleston RiverDogs	—	431	390	76	10	1	0	34	114	4	23	7	195	269	226	495	31	271	26	8	229	41	—	—	—	—	—	—
YTD	22	A+ MLE	TB	—	159	148	36	5	1	1	9	47	0	12	4	243	287	311	597	68	350	30	6	256	59	-8	+1	+0	+2	+3	-0.2
▸ 2026 season
YTD	22	A RAW	TB	—	42	38	11	2	1	0	4	8	0	6	2	289	357	395	752	105	367	19	10	338	59	—	—	—	—	—	—
YTD	22	A+ RAW	TB	—	117	105	29	4	0	1	10	27	0	6	2	276	339	343	682	67	364	23	9	307	59	—	—	—	—	—	—
ROS	22	A+ MLE	TB	0%	23	21	4	1	0	0	2	6	0	1	0	190	261	238	499	48	285	26	9	239	48	-1	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	TB	—	182	169	40	6	1	1	11	53	0	13	4	237	283	302	585	65	339	29	6	254	58	-9	+1	+0	+2	+4	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	TB	35%	465	425	90	14	2	4	34	124	3	14	4	212	275	282	557	71	286	27	7	254	58	-23	+1	+0	+5	+10	-0.7
2028	24	MLB MLE	TB	46%	503	457	100	15	2	7	38	131	3	14	4	219	283	306	589	88	287	26	8	267	67	-20	+1	+0	+5	+11	-0.3
2029	25	MLB MLE	TB	52%	543	492	110	17	2	9	42	140	4	15	5	224	290	321	611	98	288	26	8	274	72	-18	+1	+0	+6	+12	0.0
2030	26	MLB MLE	TB	54%	562	509	114	18	2	10	44	144	4	15	5	224	291	326	617	102	288	26	8	278	74	-17	+1	+0	+6	+12	0.2
2031	27	MLB MLE	TB	54%	565	511	114	18	2	10	45	145	4	14	5	223	291	325	616	102	288	26	8	278	74	-17	+1	+0	+6	+12	0.2
2032	28	MLB MLE	TB	54%	563	509	113	17	2	10	45	145	4	13	4	222	290	322	613	100	288	26	8	277	74	-18	+1	-1	+6	+12	0.1
2033	29	MLB MLE	TB	58%	554	501	110	17	2	9	44	144	4	12	4	220	288	315	603	96	287	26	8	275	72	-18	+1	-1	+6	+12	-0.1
2034	30	MLB MLE	TB	60%	544	491	108	16	2	9	44	143	4	11	3	220	289	316	605	96	286	26	8	273	71	-19	+1	-2	+6	+12	-0.3
2027	23	MLB CTX	TB	35%	161	147	32	5	1	1	12	43	1	5	1	218	281	286	567	68	293	27	7	255	58	-8	+1	+0	+2	+3	-0.2
2028	24	MLB CTX	TB	46%	233	211	48	8	1	3	18	61	2	7	2	227	294	318	612	90	295	26	8	268	67	-9	+1	+0	+2	+5	-0.1
2029	25	MLB CTX	TB	52%	281	255	58	9	1	5	22	72	2	8	2	227	294	329	623	102	296	26	8	275	72	-9	+1	+0	+3	+6	0.0
2030	26	MLB CTX	TB	54%	305	276	64	10	1	6	24	78	2	8	3	232	298	341	639	109	296	26	8	279	74	-9	+0	+0	+3	+7	0.1
2031	27	MLB CTX	TB	54%	307	278	64	10	1	6	24	79	2	8	2	230	296	338	634	108	296	26	8	279	74	-9	+1	+0	+3	+7	0.1
2032	28	MLB CTX	TB	54%	306	277	62	10	1	5	24	79	2	7	2	224	290	321	612	97	296	26	8	278	74	-10	+1	-0	+3	+7	0.1
2033	29	MLB CTX	TB	58%	319	288	65	10	1	6	26	83	2	7	2	226	294	330	624	104	295	26	8	276	72	-10	+1	-1	+3	+7	-0.0
2034	30	MLB CTX	TB	60%	326	295	65	10	1	5	26	86	2	7	2	220	288	312	600	92	294	26	8	274	71	-11	+1	-1	+3	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2238	2027	458	72	8	37	176	581	15	57	16	226	293	324	617	98	296	26	8	274	63	-77	+5	-2	+24	+48	-0.2
/ 162G	—	A+C		—	650	589	133	21	2	11	51	169	4	17	5	226	292	324	616	98	295	26	8	274	63	-22	+1	-1	+7	+14	-0.1
Career	—	MLE		—	5493	4974	1058	161	20	72	425	1441	42	165	57	213	280	297	577	84	282	26	8	261	63	-153	+8	-4	+46	+94	-0.9
/ 162G	—	MLE		—	650	589	125	19	2	9	50	171	5	20	7	212	280	297	577	85	281	26	8	261	63	-23	+1	-1	+7	+14	-0.1

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
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#4Everth Cabreralast yr '15 career totals — 6 seasons, 2,059 PA	3.1	2,059	12	136	247	316	328	+22	-1	5.1	5.1
/162	664	4	44	+7.1	-0.5	1.6	pk7: 5
#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 4 projected seasons	3.4	2,238	36	56	221	285	315	+24	+12	1.3	1.3
/162	664	11	17	+7.1	+3.6	0.4	pk7: 1
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-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
Ricardo Gonzalez (OGILVIE)	22	35	20	55	50	202/263/250	48	285	1	13	28%	7%	48	-1.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Terry Serrano 2009 · A	22	41	36→30	51→55	45	194/254/257	63	262	3	15	26%	7%	46	-2.6	209/290/282	73	320	3	15	32%	10%	65	-1.2	204/311/268	64	327	2	21	33%	13%	68	-0.5
✕Candido Pimentel 2012 · A	22	45	34→30	49→55	46	207/272/257	49	292	2	15	28%	8%	53	-2.1	233/283/290	57	326	2	14	27%	6%	63	-1.3	253/299/303	50	349	1	18	26%	6%	68	-0.4
✕Frainyer Chavez 2021 · A	22	44→48	36→40	50	44	207/262/270	63	277	3	15	26%	7%	52	-2.2	208/276/272	64	293	4	11	28%	8%	57	-1.8	225/293/309	84	295	8	18	25%	8%	70	-0.6
✕Alfredo Angarita 2018 · A	21	41	35→30	51→55	49	194/273/255	61	268	2	16	27%	9%	53	-2.1	200/264/256	56	287	2	10	28%	7%	49	-2.4	192/256/235	43	276	1	9	28%	7%	39	-1.4
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/268/264	67	279	4	12	29%	8%	53	-2.1	210/306/281	71	297	4	26	28%	9%	73	-0.6	226/338/275	49	304	3	35	23%	10%	81	-0.0
✕Willis Figueroa 2017 · A	22	40	33→30	49→50	52	185/282/230	46	247	1	15	23%	10%	53	-2.1	227/312/287	60	301	2	12	23%	9%	75	-0.5	284/379/322	38	370	0	16	20%	11%	105	+0.5
✕Elvis Perez 2018 · A	22	45	36→30	46→45	43	209/266/276	67	286	3	7	27%	6%	54	-2.0	201/245/293	92	285	7	6	31%	5%	51	-2.3	178/210/273	95	240	9	2	30%	4%	30	-1.2
✕Jeremy Arocho 2021 · A	22	48→45	36→30	48→60	47	224/285/296	72	288	3	10	22%	7%	66	-1.1	229/326/283	54	319	2	26	25%	12%	80	-0.2	223/334/268	45	305	1	34	23%	14%	77	-0.2
✕Yeixon Ruiz 2013 · A	22	44	34→30	51→55	45	205/259/255	50	252	2	13	19%	6%	47	-2.5	222/262/285	63	293	3	13	24%	5%	55	-2.0	223/263/286	62	295	3	15	24%	5%	52	-1.1
✕Roberto Caro 2016 · A	22	44→41	38→40	61→60	48	208/284/299	91	280	3	20	25%	8%	67	-1.1	208/276/283	75	319	2	18	32%	8%	60	-1.6	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Jose Montecino 2011 · A	21	43	33→30	51→55	50	199/285/243	44	271	1	20	25%	9%	56	-1.9	204/291/268	64	279	3	16	25%	10%	63	-1.3	166/290/201	35	220	0	27	21%	14%	49	-0.4
✕Ismael Dionicio 2012 · A	21	45	34→30	49→55	41	211/261/260	49	295	1	18	28%	6%	49	-2.4	231/282/282	51	309	1	15	24%	6%	61	-1.5	240/289/278	37	319	0	15	23%	6%	60	-0.5
✕Juan Mosquera 2009 · A	21	43	33→30	46→55	52	197/290/240	43	280	1	14	27%	10%	57	-1.8	202/267/260	58	263	3	9	22%	8%	51	-2.2	183/242/211	28	222	0	9	16%	7%	28	-1.0
✕Emmanuel Morel 2017 · A	20	40	34→30	50→55	44	183/259/238	55	287	2	15	34%	9%	44	-2.8	196/261/262	66	318	2	13	36%	7%	50	-2.3	183/249/232	49	297	0	21	35%	6%	36	-0.8
✕Luis Mendez 2015 · A	22	45	35→30	50	43	208/274/265	57	281	2	14	25%	6%	56	-1.9	208/266/268	60	279	3	12	25%	6%	53	-2.1	208/262/266	58	273	4	10	24%	6%	48	-1.2
✕Joe Munoz 2008 · A	22	43	36→30	51→55	44	202/275/270	69	257	2	16	21%	6%	58	-1.7	204/255/269	65	274	3	9	25%	4%	49	-2.4	197/231/226	29	265	0	9	25%	2%	27	-1.1
✕Reidy Mercado 2023 · A	22	41	35→30	54→60	37	189/243/242	52	302	2	17	36%	6%	38	-3.2	190/239/248	58	309	3	23	37%	6%	38	-3.2	169/213/212	43	278	1	36	38%	5%	17	-1.2
✕Fernando Garcia 2009 · A	21	39	36→30	51→55	40	188/245/251	63	268	3	17	30%	6%	41	-3.0	208/277/273	65	280	2	18	24%	8%	59	-1.7	208/284/267	59	276	1	22	23%	8%	57	-0.9
✕Rafael Ynoa 2010 · A	22	40→50	35→40	47→55	51	185/261/243	58	239	2	9	22%	9%	46	-2.6	234/284/311	77	280	5	17	18%	6%	69	-0.9	246/297/319	73	292	5	19	17%	6%	73	-0.5
✕Gerard Hall 2011 · A	23	41→39	37→40	49→50	44	196/256/272	76	277	4	12	29%	7%	50	-2.3	214/268/301	87	306	3	10	29%	7%	61	-1.5	225/275/316	91	323	0	8	28%	6%	64	-0.7

Career Stats + Projections

Career Comps

Career Path Comps