Wagnel Luna — OGILVIE

Wagnel LunaIF DSL Tigers 2

Age 20 R/R 6'0" / 155 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION131 act + 13 ros · stats below = ROS only

showingROS

wRC+†58

AVG/OBP/SLG.167 / .231 / .167

PA13

HR0

K%31

BB%8

BABIP259

ISO80

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 31 / POW 35

Toolsscout grade

CONTACT31

scouting grade only

POWER35

scouting grade only

EYE63

scouting grade only

SPEED60

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	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.6M	+$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 1	—	127	90	15	2	1	1	33	30	4	5	2	167	409	244	654	78	237	24	26	332	111	+2	+0	—	—	+3	0.5
2024	18	ROK	DSL Tigers 1	—	124	101	14	0	1	1	20	36	3	5	1	139	298	188	487	50	203	29	16	248	54	-7	+1	—	—	+3	-0.4
2025	19	ROK	DSL Tigers 1	—	142	111	28	7	0	0	26	28	1	9	5	252	399	315	714	63	333	20	18	330	110	+2	-0	—	—	+3	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tigers 1	—	127	103	12	2	1	1	20	43	4	5	2	117	283	184	468	68	176	34	16	222	36	-10	+0	—	—	+3	-0.7
2024	18	ROK MLE	DSL Tigers 1	—	124	109	10	0	1	1	12	52	3	5	1	92	202	138	339	46	156	42	10	157	-8	-16	+1	—	—	+3	-1.3
2025	19	ROK MLE	DSL Tigers 1	—	142	121	22	5	0	0	16	41	1	9	5	182	283	223	506	41	253	29	11	229	41	-10	-0	—	—	+3	-0.7
2023	17	ROK MLE	DSL Tigers 1	—	127	103	12	2	1	1	20	43	4	5	2	117	283	184	468	68	186	34	16	222	36	—	—	—	—	—	—
2023	17	ROK RAW	DSL Tigers 1	—	127	90	15	2	1	1	33	30	4	5	2	167	409	244	654	78	237	24	26	332	36	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	124	109	10	0	1	1	12	52	3	5	1	92	202	138	339	46	161	42	10	157	-8	—	—	—	—	—	—
2024	18	ROK RAW	DSL Tigers 1	—	124	101	14	0	1	1	20	36	3	5	1	139	298	188	487	50	203	29	16	248	-8	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 1	—	142	121	22	5	0	0	16	41	1	9	5	182	283	223	506	41	272	29	11	229	41	—	—	—	—	—	—
2025	19	ROK RAW	DSL Tigers 1	—	142	111	28	7	0	0	26	28	1	9	5	252	399	315	714	63	333	20	18	330	41	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tigers 1	—	127	102	12	2	1	1	20	43	4	5	2	118	283	186	470	69	176	34	16	222	36	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	124	108	10	0	1	1	12	52	3	5	1	93	202	139	341	46	156	42	10	157	-8	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 1	—	142	124	22	5	0	0	16	41	1	9	5	177	283	218	500	40	253	29	11	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	17	ROK MLE	DSL Tigers 1	—	127	102	12	2	1	1	20	43	4	5	2	118	283	186	470	69	176	34	16	222	36	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	124	108	10	0	1	1	12	52	3	5	1	93	202	139	341	46	156	42	10	157	-8	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 1	—	142	124	22	5	0	0	16	41	1	9	5	177	283	218	500	40	253	29	11	229	41	—	—	—	—	—	—
YTD	20	ROK MLE	DET	—	131	112	18	0	2	1	14	43	3	14	2	161	271	223	495	62	243	33	11	227	40	-9	+2	+0	+0	+3	-0.5
▸ 2026 season
YTD	20	ROK RAW	DET	—	131	104	24	0	3	1	22	30	3	14	2	231	380	317	697	87	307	23	17	325	40	—	—	—	—	—	—
ROS	20	ROK MLE	DET	0%	13	12	2	0	0	0	1	4	0	1	0	167	231	167	397		262	31	8	254	58	-1	+0	+0	+0	+0	-0.0
TOT	20	ROK MLE	DET	—	144	124	20	0	2	1	15	47	3	15	2	161	268	218	485	56	244	33	10	229	41	-10	+2	+0	+0	+3	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	DET	34%	203	178	36	5	2	3	20	55	3	5	1	202	294	303	597	101	268	27	10	267	67	-8	+1	+0	+0	+4	-0.3
2028	22	MLB MLE	DET	48%	328	289	59	9	3	5	32	88	4	8	2	204	292	308	600	104	271	27	10	276	73	-11	+1	+0	+0	+7	-0.3
2029	23	MLB MLE	DET	54%	413	365	75	12	3	7	40	109	5	11	2	205	293	312	605	107	273	26	10	282	77	-11	+1	+0	+0	+9	-0.1
2030	24	MLB MLE	DET	55%	470	415	88	14	4	9	46	123	6	12	3	212	300	330	630	118	275	26	10	285	79	-12	+1	+0	+0	+10	-0.0
2031	25	MLB MLE	DET	60%	502	442	94	15	4	10	49	131	6	13	3	213	300	333	632	120	275	26	10	286	80	-12	+1	+0	+0	+11	0.0
2032	26	MLB MLE	DET	62%	521	458	97	15	4	10	51	136	7	13	3	212	300	328	628	116	274	26	10	287	80	-12	+1	+0	+0	+11	0.0
2033	27	MLB MLE	DET	63%	528	463	98	16	4	10	53	138	7	13	3	212	302	328	630	117	274	26	10	287	80	-12	+1	+0	+0	+11	0.0
2034	28	MLB MLE	DET	65%	528	463	97	15	4	10	53	138	7	13	3	210	300	324	624	114	274	26	10	286	80	-13	+1	-1	+0	+11	-0.1
2035	29	MLB MLE	DET	65%	521	456	96	15	4	10	53	138	7	12	3	211	302	327	629	116	273	26	10	284	78	-13	+1	-1	+0	+11	-0.2
2027	21	MLB CTX	DET	34%	70	62	13	2	1	1	7	19	1	2	0	210	300	323	623	113	264	27	10	254	67	-3	+0	+0	+0	+2	-0.1
2028	22	MLB CTX	DET	48%	159	140	27	4	1	2	16	42	2	4	1	193	285	279	563	86	267	26	10	263	73	-5	+0	+0	+0	+3	-0.1
2029	23	MLB CTX	DET	54%	224	197	41	6	2	4	22	59	3	6	1	208	297	320	617	112	269	26	10	268	77	-6	+1	+0	+0	+5	-0.1
2030	24	MLB CTX	DET	55%	261	230	49	8	2	5	26	68	3	7	1	213	301	330	632	117	270	26	10	272	79	-6	+1	+0	+0	+6	0.0
2031	25	MLB CTX	DET	60%	300	264	56	9	2	6	29	78	4	7	2	212	300	330	629	117	270	26	10	273	80	-7	+1	+0	+0	+6	-0.0
2032	26	MLB CTX	DET	62%	324	285	59	9	2	6	32	84	4	8	2	207	296	316	612	109	270	26	10	273	80	-8	+1	+0	+0	+7	0.0
2033	27	MLB CTX	DET	63%	334	294	62	10	3	6	33	87	4	8	2	211	299	327	626	116	270	26	10	273	80	-8	+1	+0	+0	+7	0.0
2034	28	MLB CTX	DET	65%	343	302	63	10	3	6	34	90	4	8	2	209	297	321	618	113	269	26	10	272	80	-8	+1	-0	+0	+7	-0.1
2035	29	MLB CTX	DET	65%	339	298	60	9	2	6	34	90	4	8	2	201	292	305	597	104	268	27	10	270	78	-9	+1	-1	+0	+7	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2354	2072	430	67	18	42	233	617	29	58	13	208	296	318	615	111	272	26	10	271	73	-60	+6	-1	+0	+51	-0.4
/ 162G	—	A+C		—	650	572	120	19	5	12	64	170	8	16	4	210	298	323	622	114	274	26	10	271	73	-17	+2	-0	+0	+14	-0.1
Career	—	MLE		—	4420	3874	786	123	34	76	446	1196	60	120	31	203	295	311	606	108	270	27	10	276	73	-105	+11	-2	+0	+87	-0.9
/ 162G	—	MLE		—	650	570	115	18	5	11	66	176	9	18	5	202	295	309	603	107	269	27	10	276	73	-17	+2	-0	+0	+14	-0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Chris Owingslast yr '22 career totals — 9 seasons, 2,420 PA	3.6	2,420	35	78	239	286	365	+13	-0	3.7	4.5
/162	664	10	21	+3.6	-0.1	1.0	pk7: 5
#3Dustin 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
#4Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.7	2,470	45	61	210	296	323	+0	+0	1.1	1.2
/162	664	12	16	+0.0	+0.0	0.3	pk7: 1
#5Nick 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
#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
Wagnel Luna (OGILVIE)	20	26→31	30→35	55→60	63	186/278/261	75	262	1	5	28%	10%	58	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Emilio King 2010 · A	20	40	37→45	51→40	43	190/274/270	79	258	4	9	26%	6%	58	-1.7	202/252/288	86	301	6	4	33%	4%	53	-2.1	211/249/305	94	308	7	2	33%	3%	52	-1.1
✕Glenn Santiago 2021 · A	20	43	37→40	55→45	46	200/274/277	78	262	3	13	23%	7%	59	-1.6	205/269/296	91	280	7	9	28%	7%	61	-1.5	182/247/261	79	270	7	8	33%	7%	43	-1.1
✕Misael Urbina 2022 · A	20	36→30	39→45	51→50	48	178/255/268	89	228	6	13	24%	8%	50	-2.3	175/249/266	91	260	6	10	32%	8%	47	-2.5	158/245/237	79	236	5	8	32%	9%	37	-1.9
✕Manuel Hilario 2012 · A	20	41	39→45	53→55	49	191/292/282	91	255	5	18	25%	9%	68	-1.0	206/275/300	94	272	6	17	25%	7%	65	-1.2	200/260/292	93	259	6	20	24%	6%	55	-0.6
✕Robedluis Fuentes 2008 · A	19	41	37→30	53→45	45	197/263/267	70	262	4	12	25%	7%	53	-2.1	230/290/284	54	281	3	7	18%	6%	65	-1.2	243/302/283	40	290	2	5	16%	6%	68	-0.4
✕Albertson Asigen 2022 · A	20	43	40	53→55	44	206/261/303	97	274	6	6	27%	7%	59	-1.7	224/297/299	75	327	4	17	30%	8%	72	-0.7	212/299/299	88	345	7	27	37%	9%	70	-0.3
✕Stanley Martinez 2017 · A	20	40	38→45	48→50	45	192/266/269	77	269	5	10	29%	8%	54	-2.0	216/284/317	101	292	9	7	27%	7%	72	-0.7	213/282/313	100	281	9	5	26%	7%	69	-0.3
✕Ricardo Rosario 2023 · A	20	40	37→40	50→55	42	192/252/267	75	262	4	12	27%	6%	48	-2.5	202/274/290	88	285	7	19	30%	8%	61	-1.5	196/282/285	89	259	11	29	27%	9%	63	-0.8
✕Jason Taylor 2008 · A	20	45→39	36→45	49→55	47	210/281/277	67	285	2	9	26%	8%	61	-1.5	211/283/328	117	266	11	19	24%	8%	74	-0.5	201/274/320	119	248	12	22	23%	8%	68	-0.5
✕Robert Gonzalez 2021 · A	20	42	40→45	54→60	47	195/295/296	102	308	7	8	35%	10%	72	-0.7	202/299/283	81	274	6	17	26%	10%	71	-0.8	180/307/230	50	224	5	30	19%	12%	61	-0.5
✕Frankeny Fernandez 2017 · A	20	36	38→40	53→60	42	174/248/255	81	275	5	19	36%	8%	45	-2.7	193/258/268	75	281	5	10	31%	7%	51	-2.3	172/238/215	43	239	3	6	27%	7%	30	-1.1
✕Melvin Santana 2012 · A	20	43	36→45	52→50	48	199/264/271	72	248	2	10	19%	7%	53	-2.1	207/259/291	84	265	3	11	22%	6%	55	-1.9	203/250/290	87	259	3	14	22%	5%	50	-0.6
✕Troy Stokes Jr. 2016 · A	20	42→38	38→50	54→55	43	198/270/278	80	278	6	20	29%	7%	58	-1.7	205/275/321	116	272	10	18	27%	7%	70	-0.9	198/272/329	132	263	13	19	29%	7%	68	-0.8
✕Ramon Beltre 2017 · A	20	44→29	38→40	52→50	46	210/263/288	79	254	5	11	19%	6%	56	-1.9	208/242/295	87	281	7	8	28%	4%	49	-2.4	191/216/272	82	272	6	7	32%	3%	32	-2.1
✕Ismael Alcantara 2019 · A	20	39→29	38→45	51→50	41	185/255/266	81	281	5	13	34%	7%	49	-2.4	210/275/314	104	329	8	15	36%	7%	68	-1.0	190/253/306	116	287	12	16	36%	6%	55	-0.9
✕Christian Cerda 2023 · A	20	41→37	39→45	50→40	51	195/281/288	93	256	6	9	25%	10%	65	-1.2	193/287/297	104	256	11	4	27%	11%	69	-0.9	180/276/283	102	231	12	2	26%	11%	61	-1.1
✕Zack Larson 2014 · A	20	46→36	41→45	53→50	41	222/281/319	97	293	8	13	26%	6%	71	-0.8	201/256/267	66	276	3	10	27%	6%	49	-2.4	183/239/232	49	254	1	10	26%	5%	34	-1.9
✕Guillermo Pimentel 2010 · A	20	43	38→40	49→55	44	200/281/273	73	300	6	17	33%	8%	61	-1.5	202/260/282	80	343	6	8	40%	6%	54	-2.0	175/223/243	68	314	7	2	44%	5%	29	-1.1
✕Nelson Medina 2022 · A	21	40	38→45	53→50	48	189/275/275	85	275	5	15	31%	10%	59	-1.6	188/260/285	97	334	7	13	42%	8%	55	-1.9	138/202/215	77	286	6	16	50%	7%	15	-1.7
✕Ameilis Carvajal 2009 · A	20	41	39→40	50	48	191/281/275	84	291	6	12	33%	10%	61	-1.5	194/264/268	74	320	4	9	37%	8%	53	-2.1	140/204/175	34	267	0	8	44%	7%	9	-1.1

Career Stats + Projections

Career Comps

Career Path Comps