Arturo Flores

C Fayetteville Woodpeckers

Age 21 R/R 6'2" / 205 lbs A HR -6% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP40OGV rank#348ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	19	A/ROKHOU	116	.232/.339/.354	1	2	31	—	.162/.235/.239
2026	20	AHOU	351	.253/.359/.455	17	4	59	—	.178/.265/.303
2027PROJMLE	21	MLBHOU	461	.196/.276/.331	13	8	72	0.3
2028PROJ43% MLB	22	MLBHOU	128	.203/.284/.345	4	2	77	0.2
2029PROJ61% MLB	23	MLBHOU	229	.208/.288/.355	7	4	81	0.4

Next 3 projected WAR 0.9Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

ISO81

wRC+76

wOBA71

BB%63

Chase%29

Speed13

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 94%

CompsKevin Padlo (age 21) · Marcus Greene Jr. (age 21) · Freuddy Batista (age 22)

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

wRC+†72

AVG/OBP/SLG.195 / .274 / .328

PA210

HR6

K%33

BB%9

ISO135

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$30M ctrl surplus

Tools · ContractCON 25 / POW 52

Toolsscout grade

CONTACT25

scouting grade only

POWER52

scouting grade only

EYE59

scouting grade only

SPEED51

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
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	+0.8	$2M	+$2M
2033	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Arb-1	$2M	+0.4	$0.9M	+$0.1M
2036	Arb-2	$2M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$1.0M	—	—	—
Totals		$5M		$7M	+$4M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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	19	A	Fayetteville Woodpeckers	—	72	63	12	3	0	1	9	30	0	2	0	190	292	286	577	95	344	42	12	270	7	—	—	—	—	—	—
2025	19	ROK	FCL Astros	—	44	36	11	2	2	0	7	11	0	0	0	306	419	472	891	167	423	25	16	387	71	—	—	—	—	—	—
2026	20	A	Fayetteville Woodpeckers	—	351	297	75	9	0	17	48	130	3	4	3	253	359	455	814	202	387	37	14	362	59	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	19	A MLE	Fayetteville Woodpeckers	—	72	66	9	2	0	1	6	41	0	2	0	136	208	212	420	76	318	57	8	179	7	—	—	—	—	—	—
2025	19	ROK MLE	FCL Astros	—	44	39	8	1	1	0	4	16	0	0	0	205	279	282	561	77	338	36	9	273	71	—	—	—	—	—	—
2026	20	A MLE	Fayetteville Woodpeckers	—	351	314	56	6	0	11	34	177	3	4	3	178	265	303	568	124	357	50	10	256	59	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	116	105	17	3	1	1	10	57	0	2	0	162	235	238	473	76	333	49	9	215	31	—	—	—	—	—	—
2025	19	A RAW	2 teams	—	116	99	23	5	2	1	16	41	0	2	0	232	339	354	693	121	379	35	14	314	31	—	—	—	—	—	—
2026	20	A MLE	Fayetteville Woodpeckers	—	351	314	56	6	0	11	34	177	3	4	3	178	265	303	568	124	357	50	10	256	59	—	—	—	—	—	—
2026	20	A RAW	Fayetteville Woodpeckers	—	351	297	75	9	0	17	48	130	3	4	3	253	359	455	814	202	387	37	14	362	59	—	—	—	—	—	—
2025	19	A MLE	2 teams	—	116	105	17	3	1	1	10	57	0	2	0	162	235	238	473	76	326	49	9	215	31	—	—	—	—	—	—
2026	20	A MLE	Fayetteville Woodpeckers	—	351	311	56	6	0	11	34	177	3	4	3	180	265	305	570	125	357	50	10	256	59	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	19	A MLE	2 teams	—	116	105	17	3	1	1	10	57	0	2	0	162	235	238	473	76	326	49	9	215	31	—	—	—	—	—	—
2026	20	A MLE	Fayetteville Woodpeckers	—	351	311	56	6	0	11	34	177	3	4	3	180	265	305	570	125	357	50	10	256	59	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	HOU	0%	461	412	82	14	2	13	42	150	4	8	2	196	276	331	608	135	270	33	9	275	72	-15	+1	+0	+8	+10	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	HOU	43%	296	265	53	9	1	9	27	94	2	5	2	202	282	344	626	142	272	32	9	282	77	-8	+0	+0	+5	+6	0.4
2029	23	MLB MLE	HOU	61%	377	336	70	12	2	12	35	117	3	7	2	206	286	353	639	147	274	31	9	287	81	-9	+1	+0	+7	+8	0.7
2030	24	MLB MLE	HOU	66%	431	384	80	14	2	13	40	132	4	8	2	209	289	360	649	151	276	31	9	291	83	-9	+1	+0	+8	+9	0.9
2031	25	MLB MLE	HOU	69%	445	397	84	15	2	14	41	134	4	8	2	212	292	364	656	153	277	30	9	294	85	-8	+1	+0	+8	+10	1.1
2032	26	MLB MLE	HOU	70%	445	397	85	15	2	14	41	132	4	8	3	213	293	366	659	153	277	30	9	295	86	-7	+0	+0	+8	+10	1.1
2033	27	MLB MLE	HOU	69%	445	397	85	15	2	14	41	133	4	8	3	212	292	364	656	152	277	30	9	294	85	-8	+0	+0	+8	+10	1.0
2034	28	MLB MLE	HOU	68%	445	397	84	14	2	14	41	134	4	8	3	210	290	359	649	149	276	30	9	291	83	-9	+0	-1	+8	+10	0.9
2035	29	MLB MLE	HOU	67%	445	398	82	14	2	13	41	135	3	7	3	208	287	352	639	145	274	30	9	287	81	-10	+0	-1	+8	+10	0.6
2036	30	MLB MLE	HOU	72%	445	399	82	14	2	13	40	136	3	6	3	205	283	344	628	140	272	31	9	283	77	-12	+0	-2	+8	+10	0.4
2037	31	MLB MLE	HOU	75%	419	375	75	13	1	12	38	130	3	5	4	200	278	335	613	134	268	31	9	277	73	-13	-1	-3	+7	+9	-0.0
2028	22	MLB CTX	HOU	43%	128	114	24	4	1	4	12	41	1	2	1	203	284	345	629	142	276	32	9	283	77	-4	+0	+0	+2	+3	0.2
2029	23	MLB CTX	HOU	61%	229	204	43	8	1	7	21	71	2	4	1	208	288	355	642	147	278	31	9	288	81	-5	+0	+0	+4	+5	0.4
2030	24	MLB CTX	HOU	66%	285	255	54	10	1	9	26	87	2	5	2	211	291	361	652	150	280	31	9	292	83	-6	+0	+0	+5	+6	0.6
2031	25	MLB CTX	HOU	69%	306	272	58	11	1	9	28	92	3	6	2	214	293	365	659	152	281	30	9	295	85	-5	+0	+0	+5	+7	0.7
2032	26	MLB CTX	HOU	70%	311	276	60	11	1	10	29	92	3	6	2	215	295	368	662	153	282	30	9	297	86	-5	+0	+0	+6	+7	0.8
2033	27	MLB CTX	HOU	69%	307	273	58	11	1	9	28	92	3	6	2	214	294	365	659	151	281	30	9	295	85	-5	+0	+0	+5	+7	0.7
2034	28	MLB CTX	HOU	68%	305	272	57	10	1	9	28	92	2	5	2	212	292	360	652	148	280	30	9	292	83	-6	+0	-0	+5	+7	0.6
2035	29	MLB CTX	HOU	67%	297	266	56	10	1	9	27	90	2	5	2	210	289	354	642	144	278	30	9	289	81	-7	+0	-1	+5	+6	0.4
2036	30	MLB CTX	HOU	72%	318	284	59	11	1	9	29	98	2	5	2	206	285	346	631	139	276	31	9	284	77	-9	+0	-2	+6	+7	0.3
2037	31	MLB CTX	HOU	75%	314	281	56	10	1	8	28	97	2	4	3	202	280	336	616	134	272	31	9	278	73	-10	-0	-2	+6	+7	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2800	2497	525	96	10	83	256	852	22	48	19	210	289	356	646	146	280	30	9	290	78	-62	+2	-5	+50	+61	4.6
/ 162G	—	A+C		—	650	580	121	22	2	19	59	198	5	11	4	209	287	352	639	143	278	30	9	290	78	-14	+0	-1	+12	+14	1.1
Career	—	MLE		—	4870	4351	890	150	20	146	448	1579	39	80	31	205	285	349	634	144	281	32	9	284	78	-100	+4	-7	+79	+95	7.2
/ 162G	—	MLE		—	650	581	119	20	3	19	60	211	5	11	4	205	285	348	633	143	282	32	9	284	78	-15	+1	-1	+12	+14	1.1

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 AFayetteville Woodpeckers · 351 PAwOBA .352 → .256 (−96)K% 37.0% → 50.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.04%	÷1.000	×1.360	—	—	50.37%
BB% (unintentional) /PA	13.68%	÷1.000	×0.690	—	×1.015	9.58%
HBP% /PA	0.85%	—	×0.780	—	×1.015	0.68%
Singles /BIP	29.34%	÷1.000	×0.920	×1.026	×1.015	28.11%
Doubles /BIP	5.39%	÷1.000	×0.830	×1.026	×1.015	4.66%
Triples /BIP	0.00%	÷1.000	×0.910	×1.026	×1.015	0.00%
Home runs /BIP	10.18%	÷1.000	×0.800	—	×1.015	8.27%

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 ×1.026.

Result: wOBA .352 → .256; ISO .202 → .137; BABIP .387 → .357. 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 AFayetteville Woodpeckers · 72 PAwOBA .264 → .179 (−85)K% 41.7% → 56.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	41.67%	÷0.996	×1.360	—	—	56.91%
BB% (unintentional) /PA	12.50%	÷1.072	×0.690	—	×1.030	8.29%
HBP% /PA	0.00%	—	×0.780	—	×1.030	0.00%
Singles /BIP	24.24%	÷0.979	×0.920	—	×1.030	23.47%
Doubles /BIP	9.09%	÷1.035	×0.830	—	×1.030	7.51%
Triples /BIP	0.00%	÷0.953	×0.910	—	×1.030	0.00%
Home runs /BIP	3.03%	÷1.005	×0.800	—	×1.030	2.48%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 96, 2B 107, 3B 91, K 99, BB 114 — 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).

Result: wOBA .264 → .179; ISO .095 → .060; BABIP .344 → .318. 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 ROKFCL Astros · 44 PAwOBA .386 → .273 (−114)K% 25.0% → 36.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.00%	÷0.984	×1.440	—	—	36.59%
BB% (unintentional) /PA	15.91%	÷0.992	×0.620	—	×0.995	9.90%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	28.00%	÷0.956	×0.820	—	×0.995	23.89%
Doubles /BIP	8.00%	÷0.982	×0.720	—	×0.995	5.84%
Triples /BIP	8.00%	÷1.030	×0.720	—	×0.995	5.56%
Home runs /BIP	0.00%	÷1.023	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 105, 1B 91, 2B 96, 3B 106, K 97, BB 98 — 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).

Result: wOBA .386 → .273; ISO .167 → .111; BABIP .423 → .338. 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
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3John Bateman'63-'72 * career totals — 10 seasons, 3,585 PA	5.4	3,585	81	10	229*	274*	381*	+64	+0	8.2	8.5
/162	664	15	2	+11.9	+0.0	1.5	pk7: 9
#4Ron Karkovice'86-'97 * career totals — 12 seasons, 2,948 PA	4.4	2,948	96	24	215*	282*	390*	+52	+0	7.6	8.1
/162	664	22	5	+11.7	+0.1	1.7	pk7: 9
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.5	3,009	91	51	208	284	355	+54	+32	7.1	6.4
/162	664	20	11	+11.9	+7.1	1.6	pk7: 6
#6Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7

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
Arturo Flores (OGILVIE)	21	20→25	47→52	46→51	59	195/274/328	134	270	6	4	33%	9%	72	-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
✕Marcus Greene Jr. 2016 · A	21	42	47→50	53→40	46	206/290/344	138	303	13	8	34%	10%	80	-0.1	197/258/319	122	274	14	4	32%	7%	63	-1.4	188/246/296	108	254	13	1	31%	6%	51	-0.9
✕Freuddy Batista 2022 · A	22	38	50	46→40	41	202/264/358	156	275	19	7	33%	7%	74	-0.5	203/263/329	126	302	12	6	35%	6%	67	-1.1	206/259/338	132	266	17	4	29%	4%	64	-0.6
✕Sean Coyle 2012 · A	20	41→38	49→50	53→50	44	205/287/362	157	291	15	13	33%	8%	84	+0.1	207/268/354	147	298	16	14	35%	6%	74	-0.5	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Chris Williams 2019 · A	22	37→31	52→55	46→40	47	204/277/364	160	252	22	4	29%	9%	80	-0.1	180/269/315	135	277	15	4	37%	10%	67	-1.1	175/259/344	169	246	24	4	38%	9%	68	-0.7
✕Sherten Apostel 2020 · A	21	38→35	47→45	45→40	45	195/272/324	128	273	15	4	33%	9%	70	-0.9	207/271/335	128	319	14	4	37%	7%	71	-0.8	208/271/342	134	323	16	0	38%	7%	70	-0.4
✕Adam Zebrowski 2023 · A	22	41→33	44→50	50→40	48	201/285/321	120	282	12	5	31%	10%	74	-0.6	185/246/302	117	279	14	3	37%	7%	54	-2.0	186/237/319	133	265	18	2	36%	5%	52	-1.3
✕Darrien Miller 2023 · A	22	40→42	47→45	50→45	49	202/313/334	132	268	16	7	29%	10%	88	+0.5	192/300/291	99	262	9	5	28%	10%	74	-0.5	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Christian Cerda 2024 · A	21	41→40	43→45	48→40	57	200/308/313	113	265	11	4	27%	13%	81	-0.1	199/288/303	104	259	11	4	26%	11%	71	-0.8	188/274/285	97	238	11	2	25%	10%	60	-0.9
✕Johan Mieses 2016 · A	21	40→33	45→55	52→50	40	204/250/330	126	265	12	14	28%	5%	61	-1.5	189/238/351	162	266	20	4	37%	5%	63	-1.4	192/268/358	166	237	23	7	30%	7%	73	-0.4
✕Bryan Ramos 2022 · A	20	41→42	45→50	49→50	42	206/277/332	126	281	12	8	30%	7%	73	-0.6	219/279/362	143	273	18	5	26%	6%	80	-0.1	214/275/354	140	261	19	5	25%	6%	74	-0.4
✕Oliver Carrillo 2023 · A	21	42→28	46→45	52→45	49	210/293/339	129	282	13	7	29%	10%	80	-0.1	187/296/309	122	278	13	4	34%	12%	76	-0.4	158/271/272	114	242	14	3	37%	11%	58	-0.8
✕Sicnarf Loopstok 2016 · A	23	41→36	49→50	53→50	39	208/269/355	147	289	16	9	33%	6%	75	-0.5	208/272/340	132	295	14	10	33%	6%	73	-0.6	202/272/344	143	283	16	9	33%	6%	74	-0.3
✕Thayron Liranzo 2023 · A	20	39→43	47→50	48→30	43	197/269/333	136	279	14	5	33%	8%	70	-0.8	211/298/368	157	314	18	2	35%	11%	89	+0.5	200/293/350	150	295	17	1	35%	11%	80	-0.1
✕Yassel Pino 2023 · A	21	39	46→45	46→40	46	197/270/322	124	275	13	7	32%	9%	68	-1.0	196/256/301	105	259	10	6	27%	7%	57	-1.8	180/240/276	96	230	10	5	26%	6%	43	-1.2
✕Kendall Simmons 2022 · A	22	41	48→50	49→50	39	208/274/357	149	292	15	9	33%	6%	78	-0.3	200/263/343	143	284	16	9	34%	6%	70	-0.8	201/265/348	147	289	17	7	35%	6%	70	-0.3
✕Chris Suero 2024 · A	20	41→38	41→45	50→55	50	196/295/291	95	281	8	8	31%	10%	71	-0.8	193/290/309	116	280	12	20	33%	10%	74	-0.6	181/287/307	126	264	14	27	34%	10%	70	-0.7
✕Niko Hulsizer 2019 · A	22	43→30	47→60	51→50	42	207/297/346	139	317	15	12	36%	8%	84	+0.2	204/282/377	173	332	21	8	42%	8%	86	+0.3	194/269/385	191	316	25	12	44%	8%	80	-0.1
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	37	182/262/286	105	304	11	11	41%	7%	57	-1.8	200/264/310	110	285	13	7	33%	6%	63	-1.4	188/246/284	96	261	13	5	32%	5%	48	-1.0
✕Cristian Santana 2023 · A	19	37→20	43→45	46→45	48	180/297/288	108	265	10	11	33%	10%	73	-0.6	155/286/270	115	241	13	6	37%	13%	65	-1.2	140/273/279	139	188	20	5	36%	13%	62	-0.8

Arturo Flores

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps