Arnaldo Lantigua

RF Daytona Tortugas

Age 21 R/R 6'2" / 200 lbs A HR +16%BB +6% Svc 0.0 · Ctrl thru 2034

Overview

APROSPECTMiLBFA 2035

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL LAD Mega	193	.301/.437/.575	11	6	65	—	.177/.289/.305
2025	19	A/ROKCIN	335	.265/.335/.490	12	2	53	—	.187/.246/.332
2026	20	A/ROKCIN	476	.263/.386/.436	14	4	80	—	.212/.306/.342
2027PROJMLE	21	MLBCIN	586	.188/.270/.315	13	4	66	-0.6
2028PROJ34% MLB	22	MLBCIN	151	.198/.280/.348	4	1	74	-0.5
2029PROJ48% MLB	23	MLBCIN	235	.206/.287/.370	8	2	81	-0.5

Next 3 projected WAR -1.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2034Service0.0First FA2035

2027MiLB2028MiLB2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Arb-1$0.2M2033Arb-2$5M2034Arb-3$0.6M

Skills · percentileMiLB Statcast 2026 A

Max EV87

Chase%65

BB%53

K%51

Whiff%41

Speed40

Career WAR0.0 WAR median (P10 -0.3 / P90 18, comp-based) · star 6% · didn't stick 73%

CompsAbimelec Ortiz (age 21) · Brian Sanchez (age 21) · Clint Coulter (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†66

AVG/OBP/SLG.186 / .267 / .312

PA210

HR5

K%29

BB%9

ISO127

MLB%0%

Value2027 · WAR

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

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.8M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$0.2M	—	—	—
2033	Arb-2	$5M	—	—	—
2034	Arb-3	$0.6M	—	—	—
Totals		$0.0M		$-5M	+$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 LAD Mega	—	119	99	22	4	0	7	18	26	1	4	2	222	347	475	822	253	224	22	15	361	19	—	—	—	—	—	—
2024	18	ROK	DSL LAD Mega	—	193	153	46	7	1	11	33	34	4	6	1	301	437	575	1.012	275	315	18	17	435	65	—	—	—	—	—	—
2025	19	A	Daytona Tortugas	—	129	119	31	12	2	2	9	34	1	1	3	261	318	445	763	185	349	26	7	336	55	—	—	—	—	—	—
2025	19	ROK	ACL Reds	—	206	183	49	14	1	10	18	44	4	1	1	268	346	519	865	251	300	21	9	377	51	—	—	—	—	—	—
2026	20	A	Daytona Tortugas	—	415	342	86	19	1	12	63	97	5	4	3	251	376	418	794	167	311	23	15	355	77	—	—	—	—	—	—
2026	20	ROK	ACL Reds	—	61	50	17	5	0	2	11	9	0	0	1	340	459	560	1.019	220	385	15	18	448	101	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL LAD Mega	—	119	105	12	2	0	3	12	32	1	4	2	114	212	219	431	105	133	27	10	197	19	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	193	164	29	4	1	5	22	42	4	6	1	177	289	305	594	128	190	22	11	264	65	—	—	—	—	—	—
2025	19	A MLE	Daytona Tortugas	—	129	121	24	8	2	1	7	46	1	1	3	198	248	322	570	124	305	36	5	249	55	—	—	—	—	—	—
2025	19	ROK MLE	ACL Reds	—	206	189	34	10	1	6	12	63	4	1	1	180	244	339	583	159	223	31	6	244	51	—	—	—	—	—	—
2026	20	A MLE	Daytona Tortugas	—	415	361	74	15	1	9	44	132	5	4	3	205	300	327	627	122	283	32	11	282	77	—	—	—	—	—	—
2026	20	ROK MLE	ACL Reds	—	61	54	14	4	0	2	7	13	0	0	1	259	344	444	789	185	295	21	11	317	101	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Mega	—	119	105	12	2	0	3	12	32	1	4	2	114	212	219	431	105	127	27	10	197	19	—	—	—	—	—	—
2023	17	ROK RAW	DSL LAD Mega	—	119	99	22	4	0	7	18	26	1	4	2	222	347	475	822	253	224	22	15	361	19	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	193	164	29	4	1	5	22	42	4	6	1	177	289	305	594	128	200	22	11	264	65	—	—	—	—	—	—
2024	18	ROK RAW	DSL LAD Mega	—	193	153	46	7	1	11	33	34	4	6	1	301	437	575	1.012	275	315	18	17	435	65	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	335	310	57	18	2	7	19	109	5	2	4	184	243	323	565	139	256	33	6	246	53	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	335	302	80	26	3	12	27	78	5	2	4	265	335	490	825	225	319	23	8	361	53	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	476	415	88	19	1	11	51	145	5	4	4	212	306	342	648	130	292	30	11	286	80	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	476	392	103	24	1	14	74	106	5	4	4	263	386	436	823	173	321	22	16	367	80	—	—	—	—	—	—
2023	17	ROK MLE	DSL LAD Mega	—	119	105	12	2	0	3	12	32	1	4	2	114	212	219	431	105	133	27	10	197	19	—	—	—	—	—	—
2024	18	ROK MLE	DSL LAD Mega	—	193	165	29	4	1	5	22	42	4	6	1	176	289	303	593	127	190	22	11	264	65	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	335	308	57	18	2	7	19	109	5	2	4	185	243	325	567	140	255	33	6	246	53	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	476	417	88	19	1	11	51	145	5	4	4	211	306	341	646	129	285	30	11	286	80	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL LAD Mega	—	193	165	29	4	1	5	22	42	4	6	1	176	289	303	593	127	190	22	11	264	65	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	335	308	57	18	2	7	19	109	5	2	4	185	243	325	567	140	255	33	6	246	53	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	476	417	88	19	1	11	51	145	5	4	4	211	306	341	646	129	285	30	11	286	80	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	CIN	0%	586	522	98	23	2	13	53	167	6	4	3	188	270	315	584	127	244	28	9	265	66	-24	-0	-7	-6	+13	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	CIN	34%	438	391	76	17	1	12	40	122	4	4	2	196	278	339	616	143	248	28	9	278	74	-13	+0	-5	-5	+9	-1.4
2029	23	MLB MLE	CIN	48%	486	433	88	19	2	15	45	133	5	4	2	203	284	359	644	157	252	27	9	289	81	-11	+0	-4	-5	+11	-1.0
2030	24	MLB MLE	CIN	53%	541	481	100	21	2	18	50	146	5	5	3	208	290	374	664	166	255	27	9	296	87	-9	-0	-3	-6	+12	-0.6
2031	25	MLB MLE	CIN	55%	578	514	109	23	2	20	53	154	6	5	3	212	293	383	676	171	257	27	9	301	90	-7	-0	-3	-6	+13	-0.4
2032	26	MLB MLE	CIN	56%	590	525	112	23	2	21	54	156	6	4	3	215	295	389	684	174	259	26	9	304	92	-5	-0	-4	-6	+13	-0.3
2033	27	MLB MLE	CIN	55%	590	525	112	23	2	21	54	157	6	4	3	214	294	386	681	173	259	27	9	303	91	-6	-0	-4	-6	+13	-0.4
2034	28	MLB MLE	CIN	55%	582	518	110	23	2	20	54	156	5	2	3	212	292	382	674	170	257	27	9	300	89	-7	-1	-4	-6	+13	-0.6
2035	29	MLB MLE	CIN	53%	565	503	105	22	2	19	52	153	5	1	2	209	289	375	665	166	256	27	9	297	87	-9	-1	-5	-6	+12	-0.8
2028	22	MLB CTX	CIN	34%	151	135	27	6	1	4	14	42	1	1	1	198	280	348	628	150	249	28	9	282	74	-5	-0	-2	-2	+3	-0.5
2029	23	MLB CTX	CIN	48%	235	209	43	9	1	8	22	64	2	2	1	206	287	370	657	164	253	27	9	293	81	-5	+0	-2	-3	+5	-0.5
2030	24	MLB CTX	CIN	53%	285	254	53	11	1	10	26	77	3	2	1	211	292	385	678	174	256	27	9	302	87	-5	+0	-2	-3	+6	-0.3
2031	25	MLB CTX	CIN	55%	316	281	60	12	1	12	29	84	3	3	2	215	296	395	691	180	259	27	9	307	90	-4	-0	-2	-3	+7	-0.2
2032	26	MLB CTX	CIN	56%	328	292	64	13	1	13	30	87	3	2	2	218	298	401	699	183	260	27	9	310	92	-3	-0	-2	-4	+7	-0.2
2033	27	MLB CTX	CIN	55%	325	289	63	13	1	13	30	86	3	2	2	217	297	398	696	182	260	26	9	309	91	-3	-0	-2	-3	+7	-0.2
2034	28	MLB CTX	CIN	55%	318	283	60	12	1	12	29	85	3	1	1	215	295	393	688	179	259	27	9	306	89	-4	-0	-2	-3	+7	-0.3
2035	29	MLB CTX	CIN	53%	301	267	56	11	1	11	28	82	3	0	1	212	292	387	679	175	257	27	9	302	87	-5	-0	-3	-3	+7	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2259	2010	426	87	8	83	208	607	21	13	11	212	293	387	680	175	257	27	9	303	81	-33	-2	-16	-24	+49	-2.7
/ 162G	—	A+C		—	650	578	122	25	2	24	60	175	6	4	3	211	292	386	678	175	256	27	9	303	81	-10	-1	-5	-7	+14	-0.8
Career	—	MLE		—	5703	5071	1034	222	20	177	525	1565	59	46	33	204	286	360	646	156	255	27	9	289	81	-76	-3	-34	-49	+99	-6.4
/ 162G	—	MLE		—	650	578	117	25	2	20	60	178	7	5	4	202	286	356	642	154	253	27	9	289	81	-11	-0	-5	-7	+14	-0.9

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 ADaytona Tortugas · 415 PAwOBA .351 → .282 (−69)K% 23.4% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.37%	÷1.000	×1.360	—	—	31.79%
BB% (unintentional) /PA	15.18%	÷1.000	×0.690	—	×1.015	10.63%
HBP% /PA	1.20%	—	×0.780	—	×1.015	0.95%
Singles /BIP	22.04%	÷1.000	×0.920	×1.009	×1.015	20.76%
Doubles /BIP	7.76%	÷1.000	×0.830	×1.009	×1.015	6.59%
Triples /BIP	0.41%	÷1.000	×0.910	×1.009	×1.015	0.38%
Home runs /BIP	4.90%	÷1.000	×0.800	—	×1.015	3.98%

Factors used: level-wide A 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 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.

Result: wOBA .351 → .282; ISO .167 → .132; BABIP .311 → .283. 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).

2026 ROKACL Reds · 61 PAwOBA .436 → .317 (−119)K% 14.8% → 21.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.75%	÷1.000	×1.440	—	—	21.25%
BB% (unintentional) /PA	18.03%	÷1.000	×0.620	—	×0.985	11.01%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	24.39%	÷1.000	×0.820	—	×0.985	19.70%
Doubles /BIP	12.20%	÷1.000	×0.720	—	×0.985	8.65%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.985	0.00%
Home runs /BIP	4.88%	÷1.000	×0.780	—	×0.985	3.75%

Factors used: level-wide ROK 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 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .436 → .317; ISO .220 → .164; BABIP .385 → .295. 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 ROKACL Reds · 206 PAwOBA .368 → .244 (−125)K% 21.4% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.36%	÷1.010	×1.440	—	—	30.46%
BB% (unintentional) /PA	8.74%	÷0.931	×0.620	—	×0.995	5.79%
HBP% /PA	1.94%	—	×0.720	—	×0.995	1.39%
Singles /BIP	17.27%	÷1.039	×0.820	×0.998	×0.995	13.53%
Doubles /BIP	10.07%	÷0.963	×0.720	×0.998	×0.995	7.47%
Triples /BIP	0.72%	÷1.150	×0.720	×0.998	×0.995	0.45%
Home runs /BIP	7.19%	÷1.252	×0.780	—	×0.995	4.46%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 150, 1B 108, 2B 93, 3B 130, K 102, BB 86 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.

Result: wOBA .368 → .244; ISO .251 → .153; BABIP .300 → .223. 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 ADaytona Tortugas · 129 PAwOBA .327 → .249 (−79)K% 26.4% → 35.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.36%	÷1.008	×1.360	—	—	35.57%
BB% (unintentional) /PA	6.98%	÷0.956	×0.690	—	×1.030	5.19%
HBP% /PA	0.78%	—	×0.780	—	×1.030	0.62%
Singles /BIP	17.65%	÷0.980	×0.920	×0.984	×1.030	16.80%
Doubles /BIP	14.12%	÷1.088	×0.830	×0.984	×1.030	10.92%
Triples /BIP	2.35%	÷1.000	×0.910	×0.984	×1.030	2.17%
Home runs /BIP	2.35%	÷1.032	×0.800	—	×1.030	1.88%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 96, 2B 118, 3B 100, K 102, BB 91 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .327 → .249; ISO .185 → .133; BABIP .349 → .305. 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 LAD Mega · 193 PAwOBA .430 → .264 (−166)K% 17.6% → 21.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.62%	÷0.994	×1.220	—	—	21.62%
BB% (unintentional) /PA	17.10%	÷1.030	×0.700	—	×0.995	11.56%
HBP% /PA	2.07%	—	×0.700	—	×0.995	1.44%
Singles /BIP	22.69%	÷0.988	×0.680	×0.950	×0.995	14.76%
Doubles /BIP	5.88%	÷0.953	×0.600	×0.950	×0.995	3.50%
Triples /BIP	0.84%	÷1.079	×0.600	×0.950	×0.995	0.44%
Home runs /BIP	9.24%	÷1.095	×0.470	—	×0.995	3.95%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 119, 1B 98, 2B 91, 3B 116, K 99, BB 106 — 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 ×0.950.

Result: wOBA .430 → .264; ISO .275 → .134; BABIP .315 → .190. 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 LAD Mega · 119 PAwOBA .354 → .197 (−157)K% 21.8% → 27.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.85%	÷0.978	×1.220	—	—	27.27%
BB% (unintentional) /PA	15.13%	÷1.050	×0.700	—	×1.008	10.16%
HBP% /PA	0.84%	—	×0.700	—	×1.008	0.59%
Singles /BIP	15.07%	÷0.998	×0.680	×0.951	×1.008	9.85%
Doubles /BIP	5.48%	÷0.985	×0.600	×0.951	×1.008	3.20%
Triples /BIP	0.00%	÷0.937	×0.600	×0.951	×1.008	0.00%
Home runs /BIP	9.59%	÷1.325	×0.470	—	×1.008	3.43%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 165, 1B 100, 2B 97, 3B 87, K 96, BB 110 — 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 ×0.951.

Result: wOBA .354 → .197; ISO .253 → .100; BABIP .224 → .133. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Cory Snyder'86-'94 * career totals — 9 seasons, 3,933 PA	5.9	3,933	149	28	243*	290*	445*	-35	-18	4.7	5.7
/162	664	25	5	-5.9	-3.0	0.8	pk7: 7
#2Michael 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
#3John 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
#4Charlie Spikes'72-'80 * career totals — 6 seasons, 2,232 PA	3.4	2,232	65	27	246*	307*	433*	-26	-16	1.3	1.7
/162	664	19	8	-7.6	-4.6	0.4	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.7	2,470	82	16	209	287	373	-16	-22	1.2	1.4
/162	664	22	4	-4.3	-5.9	0.3	pk7: 2
#5Eric Anthony'89-'97 * career totals — 9 seasons, 2,243 PA	3.4	2,243	78	24	225*	300*	410*	-22	-22	0.1	0.6
/162	664	23	7	-6.7	-6.6	0.0	pk7: 1
#6Seth Brownlast yr '25 career totals — 6 seasons, 1,799 PA	2.7	1,799	74	24	227	293	421	-23	-34	-0.8	-0.8
/162	664	27	9	-8.6	-12.4	-0.3	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
Arnaldo Lantigua (OGILVIE)	21	—	—	—	—	186/267/312	126	244	5	1	29%	9%	66	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Abimelec Ortiz 2023 · A	21	36→42	47→60	43→40	43	188/265/318	130	263	16	7	34%	8%	65	-1.2	216/279/399	183	284	24	4	32%	7%	89	+0.5	215/282/406	191	269	25	2	30%	7%	90	+0.5
✕Brian Sanchez 2017 · A	21	37	43→50	45	42	189/257/303	113	261	11	4	31%	7%	59	-1.7	184/237/278	94	281	8	4	35%	6%	45	-2.7	133/186/201	68	218	4	0	39%	6%	6	-1.0
✕Clint Coulter 2014 · A	21	41→43	43→50	45→40	42	205/271/311	106	279	10	5	29%	7%	65	-1.2	214/288/349	135	274	14	4	26%	7%	81	-0.1	200/266/338	137	245	16	4	25%	5%	67	-0.4
●Jordy Lara 2013 · A	22	35→45	45→55	46→40	40	184/239/302	118	244	12	3	30%	6%	51	-2.2	230/275/373	143	290	15	2	25%	5%	81	-0.1	239/285/388	149	295	15	1	24%	5%	86	+0.3
✕Jhonkensy Noel 2021 · A	20	40→42	43→55	47→45	42	202/266/309	107	265	11	7	28%	6%	63	-1.3	222/273/394	172	288	23	5	31%	5%	86	+0.3	200/264/382	182	250	25	1	31%	6%	78	-0.3
✕Kevin Padlo 2017 · A	21	37→42	47→55	46→50	47	190/279/325	135	275	14	9	34%	10%	73	-0.6	191/275/329	138	281	14	8	34%	9%	72	-0.7	196/269/361	165	267	20	12	33%	8%	75	-0.3
✕Mitch Einertson 2007 · A	21	38→48	43→50	45	42	192/252/301	110	243	11	5	26%	6%	57	-1.8	228/273/355	127	283	12	5	23%	5%	76	-0.4	238/281/367	129	292	12	5	22%	4%	79	-0.1
●Koby Clemens 2008 · A	21	42→52	44→55	47→45	43	209/273/324	115	280	12	6	29%	7%	70	-0.9	223/290/375	152	306	16	4	30%	8%	88	+0.4	221/293/392	171	299	18	4	31%	8%	91	+0.6
✕Jabari Henry 2013 · A	22	41	46→55	49→45	44	208/269/341	133	270	13	6	28%	7%	72	-0.7	206/283/358	152	269	17	6	28%	9%	81	-0.1	191/276/354	163	247	19	6	30%	10%	74	-0.4
●Trayce Thompson 2012 · A	21	36→46	49→60	45→50	37	190/249/339	149	284	17	6	38%	6%	64	-1.3	196/257/347	151	285	17	13	36%	7%	69	-0.9	203/291/407	204	286	27	7	37%	10%	95	+0.6
✕Sandro Fabian 2019 · A	21	41→48	44→55	41→45	35	207/243/321	113	274	12	3	29%	3%	57	-1.8	216/262/344	128	279	16	5	28%	5%	70	-0.9	234/282/398	164	262	19	4	19%	5%	87	+0.3
✕Kyle Higashioka 2011 · A	21	41→43	42→60	41→45	44	201/257/300	99	250	9	3	23%	6%	57	-1.8	198/245/316	118	243	13	4	24%	5%	57	-1.8	230/276/419	189	272	26	4	26%	6%	93	+0.4
●Jerry Sands 2009 · A	21	35→45	50→60	51→45	45	190/273/335	145	258	19	8	33%	9%	73	-0.6	230/295/421	191	285	24	6	28%	8%	100	+1.3	232/298/432	200	280	25	7	26%	8%	104	+1.4
✕Aderlin Rodríguez 2013 · A	21	40→48	51→55	47→30	39	212/249/364	152	254	20	3	26%	4%	70	-0.9	210/247/341	131	266	14	3	26%	4%	63	-1.4	242/283/403	161	284	21	0	23%	4%	90	+0.4
✕Michael Chavis 2017 · A	21	38→46	44→60	46→45	35	195/242/312	118	285	12	6	36%	5%	55	-2.0	230/282/409	179	305	23	4	32%	5%	93	+0.8	237/293/439	202	305	28	3	31%	6%	102	+0.9
✕Rainer Nunez 2022 · A	21	40→50	45	43→30	46	204/268/325	121	254	12	3	25%	8%	68	-1.0	234/274/355	121	312	14	2	29%	5%	76	-0.4	237/278/350	113	315	14	1	28%	5%	74	-0.5
●Aristides Aquino 2015 · A	21	36→41	47→65	50	35	192/232/329	137	256	14	11	31%	4%	55	-2.0	203/241/343	140	272	14	9	30%	4%	61	-1.5	218/281/448	230	271	34	9	33%	7%	100	+0.8
●Esmerlyn Valdez 2024 · A	20	41→44	42→60	45→30	40	201/268/308	107	300	10	5	34%	7%	63	-1.3	207/289/374	167	303	21	3	37%	9%	88	+0.4	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Patrick Leonard 2014 · A	21	36→46	43→45	47→50	39	187/242/296	109	262	12	5	33%	6%	51	-2.2	218/280/339	121	314	11	9	32%	7%	75	-0.5	223/287/347	124	325	11	9	33%	7%	76	-0.3
✕Jhostynxon Garcia 2023 · A	20	36→44	40→50	47→50	46	175/264/271	96	263	7	8	34%	10%	55	-2.0	204/267/339	135	290	14	10	33%	7%	70	-0.8	226/279/379	153	297	20	9	30%	5%	81	-0.0

Arnaldo Lantigua

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps