Wagnel Luna

IF DSL Tigers 2

Age 21 R/R 6'0" / 155 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL Tigers 1	124	.139/.298/.188	1	5	-8	—	.075/.202/.075
2025	19	ROKDSL Tigers 1	142	.252/.399/.315	0	9	33	—	.150/.261/.183
2026	20	ROKDSL Tigers 2	131	.231/.380/.317	1	14	30	—	.135/.256/.171
2027PROJMLE	21	MLBDET	241	.199/.278/.274	2	5	59	-0.1
2028PROJ34% MLB	22	MLBDET	41	.201/.280/.283	0	1	64	-0.1

Next 2 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.0M2032Ext$0.0M2033Ext$0.9M2034Ext$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Speed97

Z-Con%63

Chase%62

BB%60

Whiff%43

K%42

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsAlbertson Asigen (age 21) · Charcer Burks (age 21) · Frank Frias (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 68 proj PA

wRC+†59

AVG/OBP/SLG.198 / .276 / .271

PA68

HR1

K%28

BB%9

ISO74

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 47 / POW 34

Toolsscout grade

CONTACT47

scouting grade only

POWER34

scouting grade only

EYE67

scouting grade only

SPEED63

scouting grade only

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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	37	—	—	—	—	—	—
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	-8	—	—	—	—	—	—
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	33	—	—	—	—	—	—
2026	20	ROK	DSL Tigers 2	—	131	104	24	0	3	1	22	30	3	14	2	231	380	317	697	87	307	23	17	325	30	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Tigers 1	—	127	100	10	1	1	1	23	37	4	5	2	100	291	160	451	60	146	29	18	223	37	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	124	107	8	0	0	0	14	44	3	5	1	75	202	75	276		128	35	11	156	-8	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 1	—	142	120	18	4	0	0	17	35	1	9	5	150	261	183	444	33	207	25	12	217	33	—	—	—	—	—	—
2026	20	ROK MLE	DSL Tigers 2	—	131	111	15	0	2	0	15	37	3	14	2	135	256	171	427	36	192	28	11	212	30	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tigers 1	—	127	100	10	1	1	1	23	37	4	5	2	100	291	160	451	60	145	29	18	223	37	—	—	—	—	—	—
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	37	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	124	107	8	0	0	0	14	44	3	5	1	75	202	75	276		127	35	11	156	-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	120	18	4	0	0	17	35	1	9	5	150	261	183	444	33	209	25	12	217	33	—	—	—	—	—	—
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	33	—	—	—	—	—	—
2026	20	ROK MLE	DSL Tigers 2	—	131	111	15	0	2	0	15	37	3	14	2	135	256	171	427	36	197	28	11	212	30	—	—	—	—	—	—
2026	20	ROK RAW	DSL Tigers 2	—	131	104	24	0	3	1	22	30	3	14	2	231	380	317	697	87	307	23	17	325	30	—	—	—	—	—	—
2023	17	ROK MLE	DSL Tigers 1	—	127	99	10	1	1	1	23	37	4	5	2	101	291	162	453	61	146	29	18	223	37	—	—	—	—	—	—
2024	18	ROK MLE	DSL Tigers 1	—	124	106	8	0	0	0	14	44	3	5	1	75	202	75	277		128	35	11	156	-8	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 1	—	142	123	18	4	0	0	17	35	1	9	5	146	261	179	440	33	207	25	12	217	33	—	—	—	—	—	—
2026	20	ROK MLE	DSL Tigers 2	—	131	112	15	0	2	0	15	37	3	14	2	134	256	170	425	36	192	28	11	212	30	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Tigers 1	—	124	106	8	0	0	0	14	44	3	5	1	75	202	75	277		128	35	11	156	-8	—	—	—	—	—	—
2025	19	ROK MLE	DSL Tigers 1	—	142	123	18	4	0	0	17	35	1	9	5	146	261	179	440	33	207	25	12	217	33	—	—	—	—	—	—
2026	20	ROK MLE	DSL Tigers 2	—	131	112	15	0	2	0	15	37	3	14	2	134	256	170	425	36	192	28	11	212	30	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	DET	0%	241	216	44	7	2	2	21	69	2	5	1	199	278	274	552	74	280	29	9	255	59	-12	+1	+0	+0	+5	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	DET	34%	118	106	21	3	1	1	10	33	1	3	1	204	283	289	572	85	281	28	8	263	64	-5	+0	+0	+0	+3	-0.2
2028	22	MLB CTX	DET	34%	41	37	7	1	0	0	4	11	0	1	0	201	280	283	564	82	277	27	10	260	64	-2	+0	+0	+0	+1	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	41	37	7	1	0	0	4	11	0	1	0	189	268	216	485	27	269	27	10	260	34	-2	+0	+0	+0	+1	-0.1
/ 162G	—	A+C		—	650	587	111	16	0	0	63	174	0	16	0	189	268	216	484	27	269	27	10	260	34	-28	+3	+0	+0	+14	-1.1
Career	—	MLE		—	710	605	85	10	5	3	85	205	13	38	11	140	260	188	449	48	204	29	12	218	34	-8	+1	+0	+0	+4	-0.4
/ 162G	—	MLE		—	650	554	78	9	5	3	78	188	12	35	10	141	261	191	453	51	204	29	12	218	34	-29	+2	+0	+0	+14	-1.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 DSLDSL Tigers 2 · 131 PAwOBA .323 → .212 (−111)K% 22.9% → 27.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.90%	÷1.000	×1.220	—	—	27.94%
BB% (unintentional) /PA	16.79%	÷1.000	×0.700	—	×0.975	11.46%
HBP% /PA	2.29%	—	×0.700	—	×0.975	1.56%
Singles /BIP	27.03%	÷1.000	×0.680	×0.965	×0.975	17.29%
Doubles /BIP	0.00%	÷1.000	×0.600	×0.965	×0.975	0.00%
Triples /BIP	4.05%	÷1.000	×0.600	×0.965	×0.975	2.29%
Home runs /BIP	1.35%	÷1.000	×0.470	—	×0.975	0.62%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 18.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.

Result: wOBA .323 → .212; ISO .087 → .048; BABIP .307 → .192. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Tigers 1 · 142 PAwOBA .325 → .217 (−108)K% 19.7% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.72%	÷0.987	×1.220	—	—	24.38%
BB% (unintentional) /PA	18.31%	÷1.026	×0.700	—	×0.985	12.31%
HBP% /PA	0.70%	—	×0.700	—	×0.985	0.49%
Singles /BIP	25.30%	÷1.045	×0.680	×0.987	×0.985	16.00%
Doubles /BIP	8.43%	÷0.999	×0.600	×0.987	×0.985	4.92%
Triples /BIP	0.00%	÷1.102	×0.600	×0.987	×0.985	0.00%
Home runs /BIP	0.00%	÷3.212	×0.470	—	×0.985	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 542, 1B 109, 2B 100, 3B 120, K 97, BB 105 — applied at half strength. Age: age 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.

Result: wOBA .325 → .217; ISO .063 → .040; BABIP .333 → .207. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 DSLDSL Tigers 1 · 124 PAwOBA .243 → .156 (−86)K% 29.0% → 35.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.03%	÷1.002	×1.220	—	—	35.36%
BB% (unintentional) /PA	16.13%	÷1.009	×0.700	—	×0.995	11.14%
HBP% /PA	2.42%	—	×0.700	—	×0.995	1.69%
Singles /BIP	18.46%	÷1.014	×0.680	×0.969	×0.995	11.93%
Doubles /BIP	0.00%	÷0.958	×0.600	×0.969	×0.995	0.00%
Triples /BIP	1.54%	÷1.150	×0.600	×0.969	×0.995	0.77%
Home runs /BIP	1.54%	÷1.105	×0.470	—	×0.995	0.65%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 103, 2B 92, 3B 130, K 100, BB 102 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .243 → .156; ISO .050 → .022; BABIP .203 → .128. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL Tigers 1 · 127 PAwOBA .326 → .223 (−103)K% 23.6% → 29.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.62%	÷0.995	×1.220	—	—	28.95%
BB% (unintentional) /PA	25.98%	÷1.009	×0.700	—	×1.008	18.16%
HBP% /PA	3.15%	—	×0.700	—	×1.008	2.22%
Singles /BIP	18.33%	÷1.058	×0.680	×0.950	×1.008	11.28%
Doubles /BIP	3.33%	÷0.901	×0.600	×0.950	×1.008	2.13%
Triples /BIP	1.67%	÷0.900	×0.600	×0.950	×1.008	1.06%
Home runs /BIP	1.67%	÷0.862	×0.470	—	×1.008	0.92%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 72, 1B 112, 2B 80, 3B 80, K 99, BB 102 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .326 → .223; ISO .078 → .050; BABIP .237 → .146. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

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)	21	42→47	29→34	58→63	67	198/276/271	73	280	1	2	28%	9%	59	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Albertson Asigen 2023 · A	21	43	35→40	56→55	50	201/277/262	60	263	2	12	23%	9%	56	-1.9	215/296/295	80	325	5	20	32%	9%	71	-0.8	209/299/294	85	336	7	27	36%	9%	69	-0.3
✕Charcer Burks 2016 · A	21	44→48	37→40	53→50	44	209/266/280	71	281	4	17	26%	7%	55	-1.9	208/279/306	98	289	8	15	28%	8%	67	-1.1	202/280/301	98	284	8	14	29%	8%	65	-1.1
✕Frank Frias 2015 · A	21	47	36→30	54→55	46	218/286/285	67	294	3	19	25%	8%	65	-1.2	221/290/320	99	339	8	10	34%	8%	74	-0.5	209/299/341	132	351	14	5	40%	10%	78	-0.1
✕Mason Auer 2022 · A	21	46→47	37→45	55→60	44	214/278/291	77	298	4	19	28%	7%	63	-1.3	205/265/328	123	299	11	31	33%	6%	67	-1.1	189/250/312	123	278	11	36	35%	6%	55	-1.5
✕Nelson Medina 2022 · A	21	38	38→45	53→50	51	181/272/260	79	252	4	15	28%	10%	55	-2.0	185/255/278	93	317	6	13	40%	8%	52	-2.2	140/198/215	76	278	6	16	49%	6%	14	-1.7
✕Angel Aponte 2021 · A	21	42	39→40	54→55	41	203/261/292	89	279	6	17	28%	6%	57	-1.8	206/263/297	91	296	7	20	31%	5%	59	-1.7	189/245/275	85	274	8	24	32%	5%	45	-1.0
✕Robert Gonzalez 2021 · A	20	40	39→40	54→60	52	186/296/275	89	275	5	8	30%	12%	68	-1.0	190/293/264	74	252	5	17	24%	10%	64	-1.3	151/292/187	36	182	3	30	16%	14%	48	-0.8
✕Brandon Dailey 2012 · A	20	47	37→45	58→55	44	219/280/295	76	302	3	17	27%	7%	64	-1.3	195/243/292	97	286	8	8	33%	5%	50	-2.3	171/212/271	100	247	8	5	33%	4%	31	-1.3
✕Wes Rogers 2015 · A	21	45→51	41→40	57→65	42	217/270/314	97	294	8	18	28%	6%	65	-1.2	225/283/314	89	299	5	34	25%	7%	70	-0.9	229/287/320	92	301	5	42	24%	7%	70	-0.7
✕Tyler James 2018 · A	21	44	36→30	64→65	42	203/264/279	76	291	2	27	29%	7%	55	-2.0	217/280/291	74	327	4	27	32%	7%	63	-1.3	224/290/283	58	344	4	45	33%	7%	61	-0.6
✕Roberto Caro 2015 · A	21	41→40	37→40	61→60	53	189/277/271	82	239	2	21	21%	10%	59	-1.7	193/264/265	72	284	2	16	30%	8%	52	-2.2	211/282/288	76	323	2	26	32%	8%	62	-0.7
✕Tyler Hill 2017 · A	21	44→48	35→40	51→55	45	209/270/270	61	274	3	12	24%	7%	55	-2.0	222/278/294	72	273	5	20	20%	6%	63	-1.3	212/274/282	70	261	7	21	20%	6%	57	-0.9
✕Nic Cuckovich 2013 · A	21	46	37→40	55→45	41	210/277/292	82	322	4	14	34%	7%	63	-1.4	186/249/261	75	308	4	8	38%	6%	46	-2.6	135/202/189	55	236	3	6	41%	6%	10	-2.4
✕D.J. Burt 2017 · A	21	45→51	36→40	54→65	43	213/267/276	63	289	3	21	26%	6%	55	-2.0	211/273/281	70	305	3	25	29%	7%	58	-1.7	217/282/286	70	294	5	46	26%	8%	61	-0.8
✕Onil Perez 2024 · A	21	48	37→40	55	47	227/281/308	80	278	4	16	19%	6%	68	-1.0	216/286/290	74	269	4	16	20%	8%	66	-1.1	204/282/270	67	252	4	16	19%	8%	59	-0.7
✕Erlin Cerda 2015 · A	21	43	35→40	55	54	196/281/267	71	237	1	16	16%	9%	59	-1.6	195/256/263	68	267	2	11	26%	6%	48	-2.5	162/202/206	44	234	0	7	29%	3%	12	-1.1
✕Lane Adams 2011 · A	21	43→45	37→50	57→60	40	204/256/278	73	298	4	14	31%	6%	51	-2.3	212/261/312	100	298	8	14	30%	6%	61	-1.5	224/277/350	126	304	14	36	30%	6%	73	-0.5
✕Kyle Nevin 2023 · A	21	41→40	40	52→50	39	199/251/297	98	277	6	10	29%	5%	54	-2.0	219/276/320	101	333	8	10	34%	7%	69	-0.9	214/275/310	96	327	9	12	35%	7%	64	-0.8
✕Johan Lopez 2021 · A	21	46	38→45	56→55	49	214/276/302	88	244	4	17	14%	6%	65	-1.2	198/275/304	106	298	10	13	34%	8%	66	-1.1	179/262/280	101	275	11	14	36%	8%	55	-0.8
✕Glenn Santiago 2021 · A	20	41	36→40	54→45	48	191/268/264	73	243	2	13	21%	8%	54	-2.0	204/266/293	89	275	7	9	27%	7%	59	-1.6	185/249/263	77	271	7	8	32%	7%	44	-1.1