Anibal Salas — OGILVIE

Anibal SalasOF Lakeland Flying Tigers

Age 20 S/R 5'11" / 180 lbs A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION359 act + 10 ros · stats below = ROS only

showingROS

wRC+†67

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP284

ISO114

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 30 / POW 35

Toolsscout grade

CONTACT30

scouting grade only

POWER35

scouting grade only

EYE45

scouting grade only

SPEED50

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	—	—	—
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.6M	—	—	—
2035	Arb-2	$0.7M	—	—	—
2036	Arb-3	$7M	—	—	—
Totals		$0.0M		$-0.3M	+$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)
2023	17	ROK	DSL Tigers 2	—	153	114	32	4	1	5	33	36	4	8	3	281	457	465	922	184	360	24	22	412	165	+12	+0	—	—	+3	1.6
2024	18	ROK	FCL Tigers	—	160	133	26	3	1	4	23	48	4	3	0	195	331	323	655	128	272	30	14	307	94	-1	+1	—	—	+3	0.3
2025	19	ROK	FCL Tigers	—	182	151	35	7	3	4	23	49	6	8	2	232	356	397	753	166	310	27	13	339	115	+3	+1	—	—	+4	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tigers 2	—	153	126	25	3	1	4	21	53	4	8	3	198	331	333	664	135	275	35	14	288	81	-3	+0	—	—	+3	0.0
2024	18	ROK MLE	FCL Tigers	—	160	142	19	2	1	3	14	70	4	3	0	134	231	225	457	92	228	44	9	204	24	-14	+1	—	—	+3	-1.1
2025	19	ROK MLE	FCL Tigers	—	182	160	26	5	2	3	14	70	6	8	2	163	256	275	531	113	252	38	8	239	48	-11	+1	—	—	+4	-0.7
2023	17	ROK MLE	DSL Tigers 2	—	153	126	25	3	1	4	21	53	4	8	3	198	331	333	664	135	296	35	14	288	81	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tigers 2	—	153	114	32	4	1	5	33	36	4	8	3	281	457	465	922	184	360	24	22	412	81	—	—	—	—	—	—
2024	18	ROK MLE	FCL Tigers	—	160	142	19	2	1	3	14	70	4	3	0	134	231	225	457	92	232	44	9	204	24	—	—	—	—	—	—
2024	18	ROK RAW	FCL Tigers	—	160	133	26	3	1	4	23	48	4	3	0	195	331	323	655	128	272	30	14	307	24	—	—	—	—	—	—
2025	19	ROK MLE	FCL Tigers	—	182	160	26	5	2	3	14	70	6	8	2	163	256	275	531	113	258	38	8	239	48	—	—	—	—	—	—
2025	19	ROK RAW	FCL Tigers	—	182	151	35	7	3	4	23	49	6	8	2	232	356	397	753	166	310	27	13	339	48	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tigers 2	—	153	127	25	3	1	4	21	53	4	8	3	197	331	331	662	134	275	35	14	288	81	—	—	—	—	—	—
2024	18	ROK MLE	FCL Tigers	—	160	141	19	2	1	3	14	70	4	3	0	135	231	227	458	92	228	44	9	204	24	—	—	—	—	—	—
2025	19	ROK MLE	FCL Tigers	—	182	160	26	5	2	3	14	70	6	8	2	163	256	275	531	113	252	38	8	239	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Tigers 2	—	153	127	25	3	1	4	21	53	4	8	3	197	331	331	662	134	275	35	14	288	81	—	—	—	—	—	—
2024	18	ROK MLE	FCL Tigers	—	160	141	19	2	1	3	14	70	4	3	0	135	231	227	458	92	228	44	9	204	24	—	—	—	—	—	—
2025	19	ROK MLE	FCL Tigers	—	182	160	26	5	2	3	14	70	6	8	2	163	256	275	531	113	252	38	8	239	48	—	—	—	—	—	—
YTD	20	A MLE	DET	—	359	319	63	15	3	6	32	134	5	5	3	197	281	320	601	122	313	37	9	268	68	-14	-0	+0	-2	+8	-0.9
▸ 2026 season
YTD	20	A RAW	DET	—	359	308	76	17	4	8	43	94	5	5	3	247	348	406	754	159	325	26	12	337	68	—	—	—	—	—	—
ROS	20	A MLE	DET	0%	10	9	1	0	0	0	1	4	0	0	0	111	200	111	311		289	40	10	268	67	-0	+0	+0	-0	+0	-0.0
TOT	20	A MLE	DET	—	369	328	64	15	3	6	33	138	5	5	3	195	279	314	593	119	310	37	9	268	68	-14	-0	+0	-2	+8	-0.9
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	DET	34%	361	319	65	13	3	8	33	120	6	4	2	204	291	339	629	135	289	33	9	279	75	-11	+0	+0	-2	+8	-0.5
2028	22	MLB MLE	DET	48%	447	396	81	17	3	10	41	143	7	5	2	205	291	338	629	134	290	32	9	287	80	-10	+0	+0	-3	+10	-0.3
2029	23	MLB MLE	DET	54%	496	439	93	19	4	12	46	155	8	6	2	212	298	355	654	144	291	31	9	292	84	-9	+0	+0	-3	+11	-0.1
2030	24	MLB MLE	DET	55%	527	465	99	20	4	13	49	162	8	6	2	213	299	357	656	144	292	31	9	296	86	-9	+0	+0	-3	+11	0.0
2031	25	MLB MLE	DET	56%	541	478	103	21	4	14	50	166	8	6	2	215	300	364	664	149	292	31	9	297	87	-8	+0	+0	-3	+12	0.1
2032	26	MLB MLE	DET	60%	548	484	103	21	4	14	51	168	8	6	2	213	298	360	658	147	291	31	9	298	88	-8	+0	+0	-3	+12	0.1
2033	27	MLB MLE	DET	62%	547	482	103	21	4	14	52	168	8	6	2	214	301	361	662	147	291	31	10	298	88	-8	+0	+0	-3	+12	0.1
2034	28	MLB MLE	DET	63%	542	477	101	20	4	14	52	168	8	6	2	212	300	358	658	147	291	31	10	297	87	-8	+0	-1	-3	+12	-0.0
2035	29	MLB MLE	DET	64%	532	468	100	20	4	14	51	166	8	5	2	214	302	363	665	150	290	31	10	295	86	-9	+0	-1	-3	+12	-0.2
2036	30	MLB MLE	DET	65%	521	458	95	19	3	13	50	163	8	5	2	207	297	347	644	140	288	31	10	292	84	-10	+0	-2	-3	+11	-0.4
2027	21	MLB CTX	DET	34%	124	110	22	4	1	3	11	41	2	1	1	200	285	336	621	136	284	33	9	263	75	-4	-0	+0	-1	+3	-0.2
2028	22	MLB CTX	DET	48%	217	192	40	8	2	5	20	69	3	2	1	208	293	349	642	141	285	32	9	271	80	-5	+0	+0	-1	+5	-0.2
2029	23	MLB CTX	DET	54%	269	238	49	10	2	6	25	84	4	3	1	206	292	340	632	134	286	31	9	276	84	-5	+0	+0	-2	+6	-0.1
2030	24	MLB CTX	DET	55%	292	259	54	11	2	7	27	90	4	3	1	208	293	347	641	139	287	31	9	280	86	-5	+0	+0	-2	+6	0.0
2031	25	MLB CTX	DET	56%	303	267	56	11	2	8	28	93	5	3	1	210	297	356	652	146	287	31	9	281	87	-5	+0	+0	-2	+7	0.0
2032	26	MLB CTX	DET	60%	329	290	60	12	2	8	31	101	5	4	1	207	294	345	639	138	286	31	9	282	88	-5	+0	+0	-2	+7	0.1
2033	27	MLB CTX	DET	62%	339	299	62	12	2	9	32	104	5	4	2	207	295	351	646	144	286	31	9	282	88	-5	+0	+0	-2	+7	0.0
2034	28	MLB CTX	DET	63%	342	301	62	12	2	9	33	106	5	4	1	206	295	349	644	143	286	31	10	281	87	-5	+0	-0	-2	+7	0.0
2035	29	MLB CTX	DET	64%	339	298	61	12	2	8	33	105	5	3	1	205	295	339	634	134	285	31	10	279	86	-6	+0	-1	-2	+7	-0.1
2036	30	MLB CTX	DET	65%	339	298	61	12	2	8	33	106	5	3	1	205	295	339	634	134	283	31	10	276	84	-7	+0	-1	-2	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2893	2552	527	104	19	71	273	899	43	30	11	207	294	346	640	139	285	31	9	278	82	-50	+2	-3	-17	+63	-0.6
/ 162G	—	A+C		—	650	573	118	23	4	16	61	202	10	7	2	206	293	344	637	138	284	31	9	278	82	-11	+0	-1	-4	+14	-0.1
Career	—	MLE		—	5567	4903	1014	201	41	136	525	1776	91	74	25	207	295	348	643	141	291	32	9	289	82	-91	+3	-4	-30	+110	-1.3
/ 162G	—	MLE		—	650	572	118	23	5	16	61	207	11	9	3	206	295	348	643	142	289	32	9	289	82	-12	+0	-1	-4	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#3Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#4John Mayberry Jr.last yr '15 career totals — 6 seasons, 1,506 PA	2.3	1,506	54	15	234	298	417	-6	-18	1.7	1.7
/162	664	24	7	-2.8	-8.1	0.8	pk7: 2
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.7	3,130	78	35	210	294	353	-19	+0	0.9	1.2
/162	664	16	7	-4.0	+0.0	0.2	pk7: 1
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	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
Anibal Salas (OGILVIE)	20	30	35	50	45	190/275/307	117	289	4	3	35%	9%	67	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Iverson Leonardo 2023 · A	21	37	44→50	49→50	40	187/257/301	114	274	12	9	35%	7%	58	-1.7	198/280/293	95	349	7	8	41%	9%	65	-1.2	152/277/229	77	359	3	4	50%	12%	49	-0.5
✕Carlos Rodriguez 2023 · A	20	38	40→45	47→45	46	182/270/274	91	279	8	6	35%	10%	57	-1.8	191/265/269	78	298	5	6	34%	9%	53	-2.1	177/255/266	89	258	8	2	32%	9%	47	-1.0
✕Rudy van Heydoorn 2009 · A	20	39	43→45	42→50	48	193/294/300	106	278	11	10	32%	10%	73	-0.6	183/264/287	104	286	10	6	37%	8%	58	-1.7	153/236/254	101	237	11	2	38%	9%	40	-0.9
✕Jose Meza 2023 · A	20	41→40	41→45	48→50	41	200/267/299	99	282	9	10	31%	6%	61	-1.5	203/296/305	102	299	9	8	32%	10%	74	-0.5	186/292/283	98	277	9	10	33%	11%	67	-0.7
✕Jose Cordoba 2023 · A	20	38	42→40	44→55	39	190/253/289	99	277	10	9	34%	6%	54	-2.0	206/263/300	94	283	6	11	28%	6%	59	-1.6	204/262/298	94	272	5	15	25%	6%	56	-0.8
✕Jhostynxon Garcia 2023 · A	20	38→41	41→50	48→50	45	182/267/286	104	281	8	8	35%	9%	59	-1.7	201/262/332	131	290	13	10	34%	6%	67	-1.1	219/271/366	148	290	19	9	30%	5%	75	-0.3
✕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
✕Vicmal De La Cruz 2014 · A	20	39	38→40	47→50	39	189/242/268	78	269	6	5	31%	6%	44	-2.8	186/245/258	72	280	3	6	32%	6%	43	-2.8	147/214/205	58	225	0	6	32%	6%	18	-1.5
✕Allan Castro 2023 · A	20	38→44	40→45	54→50	40	185/249/285	100	275	6	9	34%	7%	51	-2.2	203/274/314	111	281	9	13	29%	8%	68	-1.0	202/276/313	110	274	9	14	28%	9%	65	-1.0
✕Angel Martínez 2022 · A	20	42→47	41→50	50	44	203/259/304	102	267	7	10	26%	7%	59	-1.7	221/283/344	123	281	11	10	24%	7%	77	-0.3	231/280/377	146	276	15	12	22%	5%	83	+0.1
✕Nerwilian Cedeño 2022 · A	20	40→32	40→45	51→50	44	189/267/287	97	296	6	7	36%	9%	59	-1.7	191/263/301	110	295	10	12	36%	8%	60	-1.6	173/245/279	105	263	10	12	36%	8%	46	-1.5
✕Alexander Mojica 2023 · A	20	34	42→45	47→40	40	168/249/264	96	280	10	3	41%	8%	47	-2.5	199/279/320	121	325	12	6	39%	9%	72	-0.7	183/279/320	137	294	13	3	39%	10%	68	-0.4
✕Maximo Rivera 2012 · A	19	35	41→45	47→60	41	179/238/272	93	242	10	13	30%	6%	44	-2.8	221/272/301	80	288	7	19	24%	6%	63	-1.4	235/283/299	64	303	5	24	23%	5%	64	-0.4
✕C.J. Beatty 2010 · A	21	40	42→45	52→40	41	198/253/297	98	278	9	9	31%	7%	55	-2.0	209/270/324	115	297	9	5	31%	7%	68	-1.0	202/267/332	130	282	11	2	30%	8%	65	-0.7
✕Jaden Rudd 2023 · A	20	39→36	39→30	49→50	49	188/279/278	90	259	6	12	28%	10%	62	-1.4	179/292/246	67	290	3	14	35%	11%	61	-1.5	155/286/207	52	265	2	16	36%	11%	49	-1.2
✕Yeicok Calderon 2012 · A	20	42	44→45	49→45	40	205/264/325	120	302	11	7	34%	7%	65	-1.2	191/241/311	120	309	13	5	40%	6%	54	-2.0	180/228/298	118	286	14	3	41%	6%	44	-0.9
✕Adrian Placencia 2022 · A	19	36→38	41→45	48→50	43	173/260/271	98	283	9	7	39%	9%	53	-2.1	183/275/296	113	307	12	12	40%	10%	65	-1.2	172/269/283	111	290	13	13	41%	11%	57	-1.5
✕Nomar Fana 2023 · A	20	40	39→50	46→50	40	188/253/277	89	309	6	11	39%	8%	51	-2.3	189/266/296	107	304	11	12	38%	9%	60	-1.6	161/250/268	106	257	13	14	40%	10%	47	-0.9
✕Herman Armas 2007 · A	20	41	40→45	47→50	40	198/265/294	96	288	7	11	32%	6%	59	-1.6	218/287/329	111	286	11	9	26%	7%	76	-0.4	218/293/335	117	266	14	9	23%	8%	78	-0.2
✕Dalton Pompey 2013 · A	20	40→50	40→45	55	44	197/265/289	92	278	8	16	30%	8%	58	-1.7	238/299/342	104	319	7	24	25%	8%	82	+0.0	258/316/357	98	327	7	29	22%	7%	89	+0.4

Career Stats + Projections

Career Comps

Career Path Comps