Jalin Flores — OGILVIE

Jalin Flores3B Peoria Chiefs

Age 23 R/R 6'2" / 210 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION492 act + 9 ros · stats below = ROS only

showingROS

wRC+†59

AVG/OBP/SLG.111 / .111 / .111

PA9

HR0

K%33

BB%5

BABIP265

ISO126

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 25 / POW 49

Toolsscout grade

CONTACT25

scouting grade only

POWER49

scouting grade only

EYE44

scouting grade only

SPEED51

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Arb-1	$0.2M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-3M	+$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)
2025	22	A	Palm Beach Cardinals	—	105	94	21	3	0	2	10	34	0	1	0	223	298	319	617	96	322	32	10	281	76	-3	+0	—	—	+2	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Palm Beach Cardinals	—	105	96	16	3	0	1	8	48	0	1	0	167	231	229	460	62	288	46	8	206	26	-9	+0	—	—	+2	-0.7
2025	22	A MLE	Palm Beach Cardinals	—	105	96	16	3	0	1	8	48	0	1	0	167	231	229	460	62	312	46	8	206	26	—	—	—	—	—	—
2025	22	A RAW	Palm Beach Cardinals	—	105	94	21	3	0	2	10	34	0	1	0	223	298	319	617	96	322	32	10	281	26	—	—	—	—	—	—
2025	22	A MLE	Palm Beach Cardinals	—	105	96	16	3	0	1	8	48	0	1	0	167	231	229	460	62	288	46	8	206	26	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A MLE	Palm Beach Cardinals	—	105	96	16	3	0	1	8	48	0	1	0	167	231	229	460	62	288	46	8	206	26	—	—	—	—	—	—
YTD	23	A+ MLE	STL	—	492	456	88	20	3	13	22	180	9	7	2	193	244	336	580	143	280	37	4	248	54	-27	+1	+0	+2	+11	-1.4
▸ 2026 season
YTD	23	A+ RAW	STL	—	492	447	112	27	4	17	31	133	9	7	2	251	312	443	755	192	315	27	6	331	54	—	—	—	—	—	—
ROS	23	A+ MLE	STL	0%	9	9	1	0	0	0	0	3	0	0	0	111	111	111	222		265	33	0	255	59	-0	+0	+0	+0	+0	-0.0
TOT	23	A+ MLE	STL	—	501	465	89	20	3	13	22	183	9	7	2	191	242	331	573	140	277	37	4	248	54	-27	+1	+0	+2	+11	-1.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	STL	30%	334	309	62	13	2	9	18	106	4	4	1	201	254	343	597	142	267	32	5	263	64	-14	+0	+0	+1	+7	-0.5
2028	25	MLB MLE	STL	44%	387	357	73	15	2	11	22	120	5	5	1	204	260	350	611	146	269	31	6	270	69	-14	+1	+0	+1	+8	-0.4
2029	26	MLB MLE	STL	51%	419	386	79	16	2	12	24	128	6	5	1	205	262	350	612	145	270	31	6	273	71	-14	+1	+0	+1	+9	-0.3
2030	27	MLB MLE	STL	52%	427	392	81	17	2	12	26	130	6	5	1	207	267	352	619	145	271	30	6	275	72	-14	+1	+0	+2	+9	-0.3
2031	28	MLB MLE	STL	53%	430	395	81	17	2	12	26	131	6	5	1	205	265	349	614	144	270	30	6	274	72	-15	+1	-1	+2	+9	-0.4
2032	29	MLB MLE	STL	53%	423	388	79	16	2	12	26	130	6	4	1	204	264	348	612	144	270	31	6	272	70	-15	+0	-1	+2	+9	-0.5
2033	30	MLB MLE	STL	56%	416	382	77	16	2	11	26	129	5	4	1	202	262	340	602	139	269	31	6	270	69	-15	+0	-2	+1	+9	-0.7
2027	24	MLB CTX	STL	30%	101	94	19	4	1	3	5	32	1	1	0	202	250	362	612	160	266	32	5	249	64	-4	+0	+0	+0	+2	-0.2
2028	25	MLB CTX	STL	44%	171	157	32	7	1	4	10	53	2	2	1	204	260	338	598	134	268	31	6	256	69	-6	+0	+0	+1	+4	-0.2
2029	26	MLB CTX	STL	51%	213	196	40	8	1	6	12	65	3	2	1	204	261	347	608	143	269	31	6	259	71	-7	+0	+0	+1	+5	-0.2
2030	27	MLB CTX	STL	52%	224	206	42	9	1	6	13	68	3	3	1	204	261	345	606	141	270	30	6	261	72	-7	+0	+0	+1	+5	-0.2
2031	28	MLB CTX	STL	53%	229	210	43	9	1	6	14	70	3	3	1	205	264	343	607	138	269	31	6	260	72	-8	+0	-0	+1	+5	-0.2
2032	29	MLB CTX	STL	53%	222	203	42	9	1	6	14	68	3	2	1	207	268	350	618	143	269	31	6	259	70	-8	+0	-1	+1	+5	-0.3
2033	30	MLB CTX	STL	56%	235	216	43	9	1	6	14	73	3	2	1	199	258	333	591	134	268	31	6	256	69	-9	+0	-1	+1	+5	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1395	1282	261	55	7	37	82	429	18	15	6	204	261	344	605	140	272	31	6	258	68	-50	+1	-2	+5	+30	-1.6
/ 162G	—	A+C		—	650	597	121	26	3	17	38	200	8	7	3	203	259	342	601	139	272	31	6	258	68	-23	+0	-1	+2	+14	-0.8
Career	—	MLE		—	2950	2714	549	113	14	80	176	925	38	33	7	202	261	343	603	140	272	31	6	269	68	-102	+4	-4	+10	+62	-3.2
/ 162G	—	MLE		—	650	598	121	25	3	18	39	204	8	7	2	202	260	344	605	142	272	31	6	269	68	-23	+1	-1	+2	+14	-0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Sandy 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
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Ryan 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
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	2.1	1,396	39	15	205	260	350	+15	+9	0.5	0.5
/162	664	19	7	+7.1	+4.3	0.2	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
Jalin Flores (OGILVIE)	23	20→25	44→49	46→51	44	191/242/324	133	265	5	3	33%	5%	59	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kendall Simmons 2023 · A	23	36	47→50	49→50	38	188/254/321	133	272	15	10	35%	6%	62	-1.4	207/272/348	141	302	15	9	35%	6%	75	-0.5	202/267/346	145	293	16	7	35%	6%	71	-0.3
✕Rodolfo Durán 2021 · A	23	39	47→50	47→45	36	206/242/334	128	274	16	4	31%	4%	59	-1.6	200/240/330	130	259	14	4	28%	5%	58	-1.7	225/268/375	150	277	17	3	25%	5%	76	-0.2
✕David Sheaffer 2019 · A	24	36	42→50	52→40	39	184/231/287	103	246	10	7	29%	5%	44	-2.8	211/256/331	120	295	12	5	31%	5%	64	-1.3	193/238/303	110	272	11	1	33%	5%	49	-0.7
✕Steven Baron 2014 · A	23	35	40→45	53→50	34	179/213/275	95	257	7	9	33%	4%	34	-3.5	216/264/299	83	296	5	9	27%	6%	59	-1.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	181/247/307	126	264	15	5	36%	7%	56	-1.9	209/267/324	115	285	12	4	30%	7%	67	-1.1	208/268/318	109	276	12	2	28%	7%	64	-0.6
✕Tyler Kolodny 2011 · A	23	40→36	49→45	51→50	40	206/276/359	153	273	16	9	30%	6%	79	-0.2	209/284/321	112	285	10	10	29%	6%	74	-0.6	205/292/288	83	272	7	10	25%	6%	66	-0.5
✕Jason Lopez 2021 · A	23	40	43→50	46→45	38	201/248/313	112	281	10	7	32%	5%	57	-1.8	196/259/294	98	295	9	10	34%	8%	57	-1.8	166/232/250	84	247	9	10	35%	8%	35	-0.9
✕Kevin Padlo 2019 · A	23	36→40	44→50	45→50	43	180/261/297	117	271	11	7	36%	9%	59	-1.6	201/279/356	155	288	17	9	34%	9%	80	-0.2	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Joe DeCarlo 2017 · A	23	38	45→50	47→30	44	190/278/314	124	278	13	2	34%	9%	70	-0.8	197/273/328	131	280	15	3	33%	8%	71	-0.8	180/256/302	122	254	15	0	34%	7%	56	-0.8
✕Cody Puckett 2010 · A	23	39→40	46→50	51→50	38	199/250/328	129	280	15	11	34%	6%	61	-1.5	202/254/342	140	275	15	11	31%	5%	66	-1.1	193/247/331	138	257	15	11	30%	5%	60	-1.3
✕Blake Hunt 2022 · AA	23	35	43→45	49→40	39	180/241/289	109	274	11	4	37%	7%	49	-2.4	201/257/318	117	274	12	4	30%	6%	62	-1.4	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Sicnarf Loopstok 2016 · A	23	40→37	49→50	53→50	39	207/268/353	146	287	16	9	33%	6%	74	-0.5	208/273/341	133	295	14	10	33%	6%	74	-0.6	202/274/346	144	284	16	9	33%	6%	75	-0.3
✕Mariel Bautista 2021 · A	23	41→36	42→45	49→50	39	204/254/301	97	266	10	15	27%	5%	57	-1.8	211/256/332	121	306	12	11	34%	5%	64	-1.3	186/219/331	145	265	16	11	36%	3%	51	-0.5
✕Kyle Martin 2008 · A	23	38	48→55	48→45	38	199/242/338	139	246	16	6	27%	4%	61	-1.5	209/259/330	121	269	12	6	26%	5%	65	-1.2	203/255/323	120	257	13	5	26%	5%	60	-0.5
✕Mason Katz 2015 · A	24	37→33	50	48→45	43	199/262/347	148	249	18	5	28%	7%	71	-0.8	207/277/322	115	295	11	8	31%	8%	70	-0.8	188/271/269	82	294	6	6	35%	9%	54	-1.1
✕Miguel Jerez 2021 · A	23	34	47→60	48→40	37	178/247/307	130	278	16	5	40%	7%	57	-1.8	187/257/312	125	309	14	5	41%	7%	61	-1.5	123/205/254	130	193	16	0	44%	7%	28	-1.3
✕Taylor Snyder 2018 · A	23	36→34	44→50	47→50	32	186/229/299	113	278	11	13	37%	4%	47	-2.6	195/241/315	120	305	12	12	38%	5%	55	-2.0	189/239/340	151	271	18	12	36%	5%	59	-1.1
✕Willie MacIver 2021 · A	24	38→35	43→50	49→55	37	193/242/301	107	263	10	9	30%	5%	52	-2.2	194/263/314	120	281	13	15	34%	7%	63	-1.3	231/310/361	130	325	12	18	30%	8%	89	+0.3
✕Rodolfo Castro 2021 · A	22	37→41	48→55	46→50	35	195/236/334	139	275	15	6	35%	5%	57	-1.8	212/267/368	156	279	19	8	31%	6%	78	-0.3	206/269/359	153	269	19	7	30%	7%	74	-0.4
✕Riccio Torrez 2013 · A	23	37→35	41→40	47→45	40	187/241/282	95	234	9	7	24%	4%	48	-2.5	200/255/288	88	257	7	6	24%	4%	54	-2.0	195/249/276	81	251	5	3	23%	3%	47	-1.0

Career Stats + Projections

Career Comps

Career Path Comps