Warel Solano — OGILVIE

Warel SolanoSS DSL Tampa Bay

Age 18 R/R 6'2" / 165 lbs ROK HR +6%H +4% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION192 act + 19 ros · stats below = ROS only

showingROS

wRC+†57

AVG/OBP/SLG.222 / .263 / .278

PA19

HR0

K%26

BB%5

BABIP292

ISO56

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · ContractCON 55 / POW 25

Toolsscout grade

CONTACT55

scouting grade only

POWER25

scouting grade only

EYE35

scouting grade only

SPEED40

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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$0.9M
2035	Arb-1	$3M	+0.6	$1M	+$0.1M
2036	Arb-2	$4M	+0.5	$0.9M	+$0.0M (cut)
2037	Arb-3	$5M	+0.4	$0.7M	+$0.0M (cut)
Totals		$6M		$7M	+$3M

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 Rays	—	207	182	58	13	1	1	19	34	4	3	4	319	395	418	813	99	383	16	9	365	133	+8	-1	—	—	+4	1.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rays	—	207	189	45	9	1	1	12	49	4	3	4	238	298	312	610	74	297	24	6	259	61	-9	-1	—	—	+4	-0.6
2025	17	ROK MLE	DSL Rays	—	207	189	45	9	1	1	12	49	4	3	4	238	298	312	610	74	312	24	6	259	61	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rays	—	207	182	58	13	1	1	19	34	4	3	4	319	395	418	813	99	383	16	9	365	61	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rays	—	207	189	45	9	1	1	12	49	4	3	4	238	298	312	610	74	297	24	6	259	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Rays	—	207	189	45	9	1	1	12	49	4	3	4	238	298	312	610	74	297	24	6	259	61	—	—	—	—	—	—
YTD	18	ROK MLE	TB	—	192	171	31	3	3	1	14	60	4	12	3	181	259	251	511	70	265	31	7	227	40	-14	+1	+0	+2	+4	-0.6
▸ 2026 season
YTD	18	ROK RAW	TB	—	192	163	40	4	5	1	22	42	4	12	3	245	349	350	699	104	317	22	11	316	40	—	—	—	—	—	—
ROS	18	ROK MLE	TB	0%	19	18	4	1	0	0	1	5	0	1	0	222	263	278	541	56	284	26	5	253	57	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	TB	—	211	189	35	4	3	1	15	65	4	13	3	185	260	254	514	69	270	31	7	229	41	-15	+1	+0	+2	+5	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	TB	34%	260	236	51	8	3	3	18	70	4	4	1	216	283	314	597	97	287	27	7	266	66	-10	+0	+0	+3	+6	-0.2
2028	20	MLB MLE	TB	48%	384	348	77	12	4	6	27	101	6	6	2	221	289	330	619	109	289	26	7	276	73	-12	+0	+0	+4	+8	0.1
2029	21	MLB MLE	TB	54%	478	434	97	16	5	8	34	124	7	7	2	224	291	339	629	115	290	26	7	283	78	-13	+1	+0	+5	+10	0.4
2030	22	MLB MLE	TB	57%	543	491	111	18	5	10	39	139	8	8	2	226	294	344	638	118	291	26	7	288	81	-12	+1	+0	+6	+12	0.6
2031	23	MLB MLE	TB	58%	588	531	121	20	6	11	43	150	9	8	2	228	297	350	647	122	292	26	7	290	82	-12	+1	+0	+6	+13	0.8
2032	24	MLB MLE	TB	57%	615	555	127	21	6	12	45	156	10	8	2	229	298	353	652	124	293	25	7	292	84	-12	+1	+0	+7	+13	0.9
2033	25	MLB MLE	TB	57%	626	565	129	21	6	12	46	158	10	8	2	228	298	350	648	122	293	25	7	293	84	-12	+1	+0	+7	+14	1.0
2034	26	MLB MLE	TB	57%	634	572	131	21	6	13	47	160	10	8	2	229	299	355	654	126	293	25	7	293	84	-12	+1	+0	+7	+14	1.0
2035	27	MLB MLE	TB	55%	634	572	131	21	6	13	47	161	10	8	2	229	299	355	654	126	293	25	7	293	85	-12	+1	+0	+7	+14	1.0
2036	28	MLB MLE	TB	55%	629	566	129	21	6	12	48	161	10	8	2	228	300	350	650	122	292	26	8	292	84	-12	+1	-1	+7	+14	0.9
2037	29	MLB MLE	TB	53%	619	557	126	20	6	12	47	159	10	8	2	226	298	348	646	122	292	26	8	291	83	-13	+1	-1	+7	+13	0.7
2038	30	MLB MLE	TB	57%	609	548	123	20	6	11	47	158	9	7	2	224	296	343	639	119	291	26	8	288	81	-14	+1	-2	+7	+13	0.5
2039	31	MLB MLE	TB	60%	595	536	119	19	5	11	45	156	9	7	2	222	293	338	631	116	289	26	8	284	78	-15	+1	-3	+6	+13	0.2
2040	32	MLB MLE	TB	61%	576	518	113	18	5	10	44	154	9	6	2	218	291	330	621	112	286	27	8	279	75	-17	+0	-4	+6	+12	-0.2
2027	19	MLB CTX	TB	34%	89	82	18	3	1	1	6	24	1	1	0	220	281	317	598	98	296	27	7	262	66	-4	+0	+0	+1	+2	-0.1
2028	20	MLB CTX	TB	48%	186	168	38	6	2	3	13	49	3	3	1	226	293	339	633	113	298	26	7	272	73	-6	+0	+0	+2	+4	0.0
2029	21	MLB CTX	TB	54%	259	234	55	9	3	5	19	67	4	4	1	235	304	363	667	128	299	26	7	279	78	-7	+0	+0	+3	+6	0.2
2030	22	MLB CTX	TB	57%	307	277	65	11	3	6	22	79	5	4	1	235	303	361	664	126	300	26	7	283	81	-7	+0	+0	+3	+7	0.3
2031	23	MLB CTX	TB	58%	339	306	73	12	4	7	25	86	5	5	1	239	307	373	679	134	301	25	7	286	82	-7	+1	+0	+4	+7	0.5
2032	24	MLB CTX	TB	57%	350	316	74	12	4	7	26	89	5	5	1	234	303	364	667	130	302	25	7	288	84	-7	+1	+0	+4	+8	0.5
2033	25	MLB CTX	TB	57%	355	320	76	13	4	7	26	90	6	5	1	237	307	369	676	131	302	25	7	289	84	-7	+1	+0	+4	+8	0.6
2034	26	MLB CTX	TB	57%	359	324	77	13	4	7	26	91	6	5	1	238	306	367	673	130	302	25	7	289	84	-7	+1	+0	+4	+8	0.6
2035	27	MLB CTX	TB	55%	352	317	74	12	4	7	26	89	6	5	1	233	304	363	667	129	301	25	7	289	85	-6	+1	+0	+4	+8	0.6
2036	28	MLB CTX	TB	55%	345	311	72	12	3	7	26	88	5	4	1	232	301	357	658	125	301	26	8	288	84	-7	+0	-0	+4	+7	0.5
2037	29	MLB CTX	TB	53%	331	298	69	11	3	7	25	85	5	4	1	232	302	359	661	128	301	26	8	286	83	-7	+0	-1	+4	+7	0.4
2038	30	MLB CTX	TB	57%	348	313	72	12	3	7	27	90	5	4	1	230	301	355	656	125	300	26	8	284	81	-8	+0	-1	+4	+8	0.3
2039	31	MLB CTX	TB	60%	355	320	73	12	3	7	27	93	5	4	1	228	298	350	648	122	298	26	8	280	78	-9	+0	-2	+4	+8	0.1
2040	32	MLB CTX	TB	61%	353	318	70	11	3	6	27	94	5	4	1	220	291	330	622	110	295	27	8	275	75	-10	+0	-2	+4	+8	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4328	3904	906	149	44	84	321	1114	66	57	13	232	301	357	659	125	301	26	7	284	80	-98	+6	-6	+46	+94	4.3
/ 162G	—	A+C		—	650	586	136	22	7	13	48	167	10	9	2	232	301	360	661	128	300	26	7	284	80	-15	+1	-1	+7	+14	0.6
Career	—	MLE		—	8016	7236	1634	266	76	145	590	2061	125	105	31	226	295	344	639	118	294	26	7	287	80	-179	+10	-10	+84	+169	7.4
/ 162G	—	MLE		—	650	587	133	22	6	12	48	167	10	9	3	227	296	346	642	119	294	26	7	287	80	-15	+1	-1	+7	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Danny 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
#3Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.8	4,506	82	60	226	292	344	+48	+27	7.1	6.1
/162	664	12	9	+7.1	+4.0	1.1	pk7: 5
#5Ronny 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
#6Yolmer 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

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
Warel Solano (OGILVIE)	18	55	25	40	35	204/267/282	79	284	1	5	28%	6%	57	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexander Campos 2018 · A	18	46	37→40	39→45	51	214/291/283	68	279	4	8	23%	9%	66	-1.1	195/266/265	70	306	4	9	34%	8%	53	-2.1	209/308/288	79	290	8	4	28%	11%	73	-0.2
✕Jesus Alastre 2015 · A	18	51	34→30	44→50	41	236/305/293	57	301	1	11	21%	4%	74	-0.5	227/280/293	66	292	2	9	22%	4%	63	-1.3	250/283/334	84	348	4	9	28%	2%	69	-0.2
✕Lenyn Sosa 2018 · A	18	45→51	38→50	43→40	44	215/260/291	76	266	5	6	21%	6%	55	-1.9	209/239/295	86	263	6	4	23%	3%	48	-2.5	243/274/380	137	290	18	3	23%	3%	80	-0.1
✕Yonny Hernández 2016 · A	18	43→53	34→30	40→60	48	201/280/255	55	270	2	8	24%	8%	56	-1.9	218/295/275	57	265	1	22	17%	9%	66	-1.1	265/327/322	57	316	2	17	16%	7%	84	+0.1
✕Kelvin Fajardo 2015 · A	19	50	34→30	40→50	47	232/289/289	57	289	1	4	19%	6%	66	-1.1	215/271/261	46	256	1	7	16%	6%	53	-2.1	204/259/226	22	236	0	9	13%	5%	40	-1.1
✕Mikey Edie 2015 · A	18	48	37→30	47→50	45	227/308/301	74	283	5	13	20%	6%	78	-0.3	214/275/269	55	304	2	15	29%	5%	57	-1.8	194/246/238	44	286	1	12	31%	3%	36	-1.2
✕Carlos Garay 2013 · A	18	51→61	35→30	42→30	49	238/284/296	58	273	2	4	13%	6%	65	-1.2	207/260/265	58	264	2	4	21%	6%	49	-2.4	280/309/333	53	327	2	1	15%	3%	79	-0.1
✕Armando Sierra 2022 · A	18	45	37→45	41→40	41	211/271/282	71	309	4	4	31%	7%	58	-1.7	219/278/318	99	292	9	4	26%	7%	69	-0.9	214/272/321	107	278	11	2	26%	7%	65	-0.3
✕Ramon Coronel 2010 · A	18	45	36→30	45	43	211/260/278	68	255	3	5	18%	4%	53	-2.1	227/269/285	58	279	2	8	18%	5%	57	-1.8	242/277/290	49	293	1	9	17%	4%	58	-0.5
✕Carlos Triunfel 2008 · A	18	53	35→40	40→50	41	248/281/315	67	307	2	8	20%	4%	68	-1.0	240/274/325	85	277	7	14	16%	4%	68	-1.0	243/276/324	81	281	7	10	16%	3%	66	-1.0
✕Emerson Landoni 2008 · A	19	46→56	35→40	45	42	210/278/268	58	303	2	7	30%	7%	58	-1.7	223/279/295	72	292	4	8	24%	6%	63	-1.3	264/307/333	70	313	3	4	16%	5%	79	-0.1
✕Hidekel Gonzalez 2016 · A	19	48	37→45	45	42	225/275/299	74	289	4	8	23%	5%	63	-1.3	217/266/307	90	280	7	7	24%	5%	62	-1.4	239/291/347	108	285	8	8	18%	4%	80	-0.0
✕Jose Bellorin 2009 · A	18	44	35→40	42→50	39	205/262/263	58	307	2	7	32%	6%	50	-2.3	210/263/292	82	274	6	10	24%	6%	57	-1.8	214/267/298	84	258	7	12	19%	6%	58	-0.5
✕Jose Cordova 2019 · A	19	47	37→40	43→50	42	220/265/294	74	271	4	4	20%	4%	58	-1.7	232/287/305	73	308	4	13	24%	5%	70	-0.9	229/295/310	80	309	5	13	26%	7%	72	-0.3
✕Enlly Morales 2009 · A	19	46	38→40	38→40	42	218/266/303	85	274	4	5	22%	4%	61	-1.5	223/273/297	74	273	4	5	19%	5%	62	-1.4	224/273/285	61	271	3	4	17%	5%	58	-0.5
✕Roberto Alvarez 2017 · A	18	48→42	35→30	45→40	43	222/277/280	58	285	2	5	22%	5%	59	-1.6	213/253/275	62	269	3	4	21%	4%	49	-2.4	224/265/283	59	284	4	2	22%	4%	52	-0.8
✕Jordan Galvez 2011 · A	19	48	35→30	45→50	41	225/268/286	61	289	2	10	22%	5%	57	-1.8	217/265/275	58	270	1	11	19%	5%	53	-2.1	213/261/258	45	260	0	12	17%	5%	47	-0.8
✕Eduardo Guerrero 2023 · A	18	48→51	35→30	45→50	45	225/284/280	56	298	3	8	25%	7%	62	-1.4	199/274/260	61	266	3	8	24%	8%	55	-2.0	203/294/259	56	277	4	10	25%	11%	61	-0.9
✕Ali Sánchez 2015 · A	18	47	39→45	42→40	47	226/292/305	79	288	7	8	23%	8%	72	-0.7	218/267/274	56	278	3	6	21%	5%	54	-2.0	237/288/332	95	305	11	1	25%	6%	73	-0.3
✕Jadher Areinamo 2022 · A	18	45→53	35→45	46→55	46	208/271/272	63	264	2	8	21%	6%	56	-1.9	232/275/309	77	285	4	11	19%	5%	65	-1.2	232/275/352	119	263	13	18	17%	5%	75	-0.4

Career Stats + Projections

Career Comps

Career Path Comps