Roderick Flores

SS ACL Brewers

Age 20 R/R 5'9" / 167 lbs ROK HR +10%K +6% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#1789ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Brewers 2	145	.245/.444/.349	1	13	57	—	.164/.326/.241
2025	18	ROKMIL	171	.235/.395/.341	2	3	43	—	.160/.275/.236
2026	19	ROKMIL	106	.267/.394/.477	2	3	51	—	.161/.250/.280
2027PROJMLE	20	MLBMIL	216	.190/.275/.277	2	3	59	0.0
2028PROJ34% MLB	21	MLBMIL	37	.194/.279/.291	1	1	65	-0.0
2029PROJ50% MLB	22	MLBMIL	99	.198/.283/.304	2	1	69	-0.0

Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2025 Rk

BB%80

wRC+56

ISO56

K%52

wOBA51

Whiff%33

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 56 proj PA

wRC+†59

AVG/OBP/SLG.189 / .273 / .275

PA56

HR1

K%30

BB%9

ISO87

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · ContractCON 35 / POW 25

Toolsscout grade

CONTACT35

scouting grade only

POWER25

scouting grade only

EYE60

scouting grade only

SPEED40

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	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$0.4M	—	—	—
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$0.8M	+$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	16	ROK	DSL Brewers 2	—	212	171	37	10	0	0	37	62	4	10	2	216	368	275	643	58	339	29	17	311	24	—	—	—	—	—	—
2024	17	ROK	DSL Brewers 2	—	145	106	26	6	1	1	33	33	5	13	3	245	444	349	794	104	342	23	23	375	57	—	—	—	—	—	—
2025	18	ROK	ACL Brewers	—	171	132	31	8	0	2	31	36	4	3	0	235	395	341	736	106	296	21	18	339	43	—	—	—	—	—	—
2026	19	ROK	ACL Brewers	—	106	86	23	6	3	2	17	33	1	3	0	267	394	477	871	209	396	31	16	379	51	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	16	ROK MLE	DSL Brewers 2	—	212	182	24	6	0	0	26	74	4	10	2	132	255	165	420	33	217	35	12	204	24	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 2	—	145	116	19	4	1	1	23	41	5	13	3	164	326	241	568	78	217	28	16	252	57	—	—	—	—	—	—
2025	18	ROK MLE	ACL Brewers	—	171	144	23	5	0	2	19	53	4	3	0	160	275	236	512	76	213	31	11	232	43	—	—	—	—	—	—
2026	19	ROK MLE	ACL Brewers	—	106	93	15	4	2	1	10	47	1	3	0	161	250	280	530	118	287	44	9	243	51	—	—	—	—	—	—
2023	16	ROK MLE	DSL Brewers 2	—	212	182	24	6	0	0	26	74	4	10	2	132	255	165	420	33	222	35	12	204	24	—	—	—	—	—	—
2023	16	ROK RAW	DSL Brewers 2	—	212	171	37	10	0	0	37	62	4	10	2	216	368	275	643	58	339	29	17	311	24	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 2	—	145	116	19	4	1	1	23	41	5	13	3	164	326	241	568	78	240	28	16	252	57	—	—	—	—	—	—
2024	17	ROK RAW	DSL Brewers 2	—	145	106	26	6	1	1	33	33	5	13	3	245	444	349	794	104	342	23	23	375	57	—	—	—	—	—	—
2025	18	ROK MLE	ACL Brewers	—	171	144	23	5	0	2	19	53	4	3	0	160	275	236	512	76	226	31	11	232	43	—	—	—	—	—	—
2025	18	ROK RAW	ACL Brewers	—	171	132	31	8	0	2	31	36	4	3	0	235	395	341	736	106	296	21	18	339	43	—	—	—	—	—	—
2026	19	ROK MLE	ACL Brewers	—	106	93	15	4	2	1	10	47	1	3	0	161	250	280	530	118	298	44	9	243	51	—	—	—	—	—	—
2026	19	ROK RAW	ACL Brewers	—	106	86	23	6	3	2	17	33	1	3	0	267	394	477	871	209	396	31	16	379	51	—	—	—	—	—	—
2023	16	ROK MLE	DSL Brewers 2	—	212	180	24	6	0	0	26	74	4	10	2	133	255	167	421	33	217	35	12	204	24	—	—	—	—	—	—
2024	17	ROK MLE	DSL Brewers 2	—	145	116	19	4	1	1	23	41	5	13	3	164	326	241	568	78	217	28	16	252	57	—	—	—	—	—	—
2025	18	ROK MLE	ACL Brewers	—	171	146	23	5	0	2	19	53	4	3	0	158	275	233	508	75	213	31	11	232	43	—	—	—	—	—	—
2026	19	ROK MLE	ACL Brewers	—	106	94	15	4	2	1	10	47	1	3	0	160	250	277	527	117	287	44	9	243	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Brewers 2	—	145	116	19	4	1	1	23	41	5	13	3	164	326	241	568	78	217	28	16	252	57	—	—	—	—	—	—
2025	18	ROK MLE	ACL Brewers	—	171	146	23	5	0	2	19	53	4	3	0	158	275	233	508	75	213	31	11	232	43	—	—	—	—	—	—
2026	19	ROK MLE	ACL Brewers	—	106	94	15	4	2	1	10	47	1	3	0	160	250	277	527	117	287	44	9	243	51	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIL	0%	216	191	36	7	1	2	20	65	3	3	1	190	275	277	552	87	272	30	9	255	59	-11	+0	+0	+2	+5	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIL	34%	110	98	19	4	1	1	10	33	1	2	0	196	281	294	574	97	274	30	9	264	65	-5	+0	+0	+1	+2	-0.1
2029	22	MLB MLE	MIL	50%	199	177	35	7	1	3	18	58	2	3	1	201	285	306	592	106	276	29	9	271	69	-7	+0	+0	+2	+4	-0.1
2030	23	MLB MLE	MIL	58%	295	262	54	10	2	5	27	84	4	4	1	205	289	317	605	112	277	28	9	276	73	-10	+0	+0	+3	+6	0.0
2031	24	MLB MLE	MIL	61%	371	330	68	13	2	7	34	104	4	5	1	208	292	324	616	116	279	28	9	280	76	-11	+1	+0	+4	+8	0.2
2032	25	MLB MLE	MIL	63%	414	368	78	15	3	8	38	115	5	6	1	210	294	330	623	119	280	28	9	283	78	-11	+1	+0	+4	+9	0.3
2033	26	MLB MLE	MIL	64%	439	390	82	15	3	9	41	122	5	6	2	210	293	330	623	120	279	28	9	283	78	-12	+0	+0	+5	+10	0.3
2034	27	MLB MLE	MIL	65%	448	398	84	16	3	9	42	125	5	6	2	209	292	327	620	118	279	28	9	281	77	-12	+0	+0	+5	+10	0.3
2035	28	MLB MLE	MIL	65%	450	400	83	16	3	8	42	127	5	5	2	207	291	323	613	115	278	28	9	279	75	-13	+0	-1	+5	+10	0.1
2036	29	MLB MLE	MIL	65%	441	392	81	15	3	8	41	126	5	4	2	205	288	317	605	112	277	29	9	275	73	-14	+0	-1	+5	+10	-0.2
2028	21	MLB CTX	MIL	34%	37	34	6	1	0	1	3	11	0	1	0	194	279	291	569	97	269	30	8	262	65	-2	+0	+0	+0	+1	-0.0
2029	22	MLB CTX	MIL	50%	99	89	18	3	1	2	9	29	1	1	0	198	283	304	587	106	271	29	9	269	69	-4	+0	+0	+1	+2	-0.0
2030	23	MLB CTX	MIL	58%	170	150	30	5	1	3	16	49	2	2	1	202	287	314	601	112	273	29	9	274	73	-5	+0	+0	+2	+4	0.0
2031	24	MLB CTX	MIL	61%	226	200	40	7	1	4	21	64	3	3	1	206	290	322	612	117	274	28	9	278	76	-7	+0	+0	+2	+5	0.1
2032	25	MLB CTX	MIL	63%	260	231	49	9	2	5	24	72	3	4	1	208	291	328	619	120	275	28	9	281	78	-7	+0	+0	+3	+6	0.2
2033	26	MLB CTX	MIL	64%	280	249	52	9	2	6	26	78	3	4	1	208	291	328	619	120	275	28	9	281	78	-7	+0	+0	+3	+6	0.2
2034	27	MLB CTX	MIL	65%	291	259	53	9	2	6	27	81	3	4	1	207	290	325	616	118	274	28	9	280	77	-8	+0	+0	+3	+6	0.2
2035	28	MLB CTX	MIL	65%	292	260	53	9	2	6	27	82	3	3	1	205	288	321	609	116	274	28	9	277	75	-9	+0	-0	+3	+6	0.0
2036	29	MLB CTX	MIL	65%	287	256	52	9	2	5	26	82	3	3	1	203	286	315	601	112	272	29	9	274	73	-9	+0	-1	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1942	1728	353	61	13	38	179	548	21	25	7	204	287	321	607	116	274	28	9	277	69	-58	+2	-1	+21	+42	0.6
/ 162G	—	A+C		—	650	578	118	20	4	13	60	183	7	8	2	204	286	320	606	116	273	28	9	277	69	-19	+1	-0	+7	+14	0.2
Career	—	MLE		—	3857	3400	675	132	24	63	376	1126	51	71	17	199	288	307	595	109	274	29	10	270	69	-98	+4	-2	+35	+70	0.8
/ 162G	—	MLE		—	650	573	114	22	4	11	63	190	9	12	3	199	288	309	597	110	274	29	10	270	69	-20	+1	-0	+7	+14	0.2

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 ROKACL Brewers · 106 PAwOBA .377 → .243 (−134)K% 31.1% → 44.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.13%	÷1.000	×1.440	—	—	44.83%
BB% (unintentional) /PA	16.04%	÷1.000	×0.620	—	×0.995	9.89%
HBP% /PA	0.94%	—	×0.720	—	×0.995	0.68%
Singles /BIP	22.64%	÷1.000	×0.820	×0.950	×0.995	17.55%
Doubles /BIP	11.32%	÷1.000	×0.720	×0.950	×0.995	7.70%
Triples /BIP	5.66%	÷1.000	×0.720	×0.950	×0.995	3.85%
Home runs /BIP	3.77%	÷1.000	×0.780	—	×0.995	2.93%

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 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 ×0.950.

Result: wOBA .377 → .243; ISO .209 → .133; BABIP .396 → .287. 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 Brewers · 171 PAwOBA .340 → .232 (−108)K% 21.1% → 31.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.05%	÷0.973	×1.440	—	—	31.17%
BB% (unintentional) /PA	18.13%	÷1.011	×0.620	—	×1.008	11.20%
HBP% /PA	2.34%	—	×0.720	—	×1.008	1.70%
Singles /BIP	21.88%	÷1.031	×0.820	×0.950	×1.008	16.66%
Doubles /BIP	8.33%	÷1.109	×0.720	×0.950	×1.008	5.18%
Triples /BIP	0.00%	÷1.001	×0.720	×0.950	×1.008	0.00%
Home runs /BIP	2.08%	÷0.971	×0.780	—	×1.008	1.69%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 106, 2B 122, 3B 100, K 95, BB 102 — applied at half strength. Age: age 19 vs a level average of 19.5 → +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 .340 → .232; ISO .106 → .074; BABIP .296 → .213. 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 Brewers 2 · 145 PAwOBA .370 → .252 (−118)K% 22.8% → 28.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.76%	÷0.989	×1.220	—	—	28.07%
BB% (unintentional) /PA	22.76%	÷1.012	×0.700	—	×1.008	15.86%
HBP% /PA	3.45%	—	×0.700	—	×1.008	2.43%
Singles /BIP	24.66%	÷0.989	×0.680	×0.950	×1.008	16.23%
Doubles /BIP	8.22%	÷0.968	×0.600	×0.950	×1.008	4.87%
Triples /BIP	1.37%	÷1.150	×0.600	×0.950	×1.008	0.68%
Home runs /BIP	1.37%	÷0.808	×0.470	—	×1.008	0.80%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 62, 1B 98, 2B 94, 3B 130, K 98, 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 .370 → .252; ISO .104 → .063; BABIP .342 → .217. 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 Brewers 2 · 212 PAwOBA .305 → .204 (−100)K% 29.2% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.25%	÷1.023	×1.220	—	—	34.89%
BB% (unintentional) /PA	17.45%	÷0.996	×0.700	—	×1.022	12.55%
HBP% /PA	1.89%	—	×0.700	—	×1.022	1.35%
Singles /BIP	24.77%	÷1.008	×0.680	×0.954	×1.022	16.29%
Doubles /BIP	9.17%	÷0.986	×0.600	×0.954	×1.022	5.44%
Triples /BIP	0.00%	÷1.125	×0.600	×0.954	×1.022	0.00%
Home runs /BIP	0.00%	÷1.904	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 281, 1B 102, 2B 97, 3B 125, K 105, BB 99 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.954.

Result: wOBA .305 → .204; ISO .058 → .035; BABIP .339 → .217. 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
#1Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	4.7	3,095	15	22	233*	291*	316*	+32	+27	4.6	5.8
#1Gene Michael'66-'75 * career totals — 9 seasons, 3,095 PA	/162	664	3	5	233*	291*	316*	+6.8	+5.8	1.0	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
	/162	664	10	9	246	289	354	+6.7	+4.5	1.3	pk7: 6
#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	227	293	367	+2.4	+3.0	1.1	pk7: 4
#4Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	2.6	1,710	24	13	217*	284*	324*	+11	+37	2.1	2.9
#4Tim Bogar'93-'01 * career totals — 8 seasons, 1,710 PA	/162	664	9	5	217*	284*	324*	+4.2	+14.4	0.8	pk7: 4
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	3.0	1,960	9	10	229*	288*	313*	+10	+27	2.7	2.7
#5Tim Cullen'66-'72 * career totals — 6 seasons, 1,960 PA	/162	664	3	3	229*	288*	313*	+3.6	+9.1	0.9	pk7: 3
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	/162	664	9	2	230	279	335	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.0	1,999	36	25	208	288	323	+21	+18	1.9	1.9
	/162	664	12	8	208	288	323	+7.1	+6.0	0.6	pk7: 2

Roderick Flores

Career Stats + Projections

How the minor-league lines were translated

Career Comps