Josh Kross — OGILVIE

Josh KrossC Peoria Chiefs

Age 23 S/R 6'2" / 226 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION375 act + 9 ros · stats below = ROS only

showingROS

wRC+†73

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP276

ISO147

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M ctrl surplus

Tools · ContractCON 30 / POW 45

Toolsscout grade

CONTACT30

scouting grade only

POWER45

scouting grade only

EYE40

scouting grade only

SPEED40

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	+0.7	$2M	+$1M
2031	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Arb-1	$2M	+0.4	$0.9M	+$0.2M
2034	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2035	Arb-3	$1.0M	—	—	—
Totals		$4M		$6M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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)
2024	21	A	Palm Beach Cardinals	—	94	74	16	5	1	0	15	10	5	0	0	216	383	311	694	95	250	11	16	332	111	+1	+0	—	—	+2	0.3
2025	22	A+	Peoria Chiefs	—	243	213	45	9	2	8	22	65	3	0	1	211	294	385	679	174	255	27	9	298	88	-3	-0	—	—	+5	0.1
2025	22	A	Palm Beach Cardinals	—	183	164	40	10	3	8	10	48	7	1	0	244	315	488	803	244	291	26	5	348	122	+5	+0	—	—	+4	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Palm Beach Cardinals	—	94	78	14	4	1	0	11	15	5	0	0	179	319	256	576	77	225	16	12	275	72	-3	+0	—	—	+2	-0.1
2025	22	A+ MLE	Peoria Chiefs	—	243	220	35	6	2	7	15	92	3	0	1	159	223	300	523	141	209	38	6	225	38	-18	-0	—	—	+5	-1.3
2025	22	A MLE	Palm Beach Cardinals	—	183	167	32	9	2	6	7	68	7	1	0	192	254	377	631	186	265	37	4	275	72	-6	+0	—	—	+4	-0.2
2024	21	A MLE	Palm Beach Cardinals	—	94	78	14	4	1	0	11	15	5	0	0	179	319	256	576	77	222	16	12	275	72	—	—	—	—	—	—
2024	21	A RAW	Palm Beach Cardinals	—	94	74	16	5	1	0	15	10	5	0	0	216	383	311	694	95	250	11	16	332	72	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	426	388	67	15	4	13	21	161	10	1	1	173	234	332	566	160	244	38	5	246	53	—	—	—	—	—	—
2025	22	A+ RAW	2 teams	—	426	377	85	19	5	16	32	113	10	1	1	225	303	430	733	204	271	27	8	320	53	—	—	—	—	—	—
2024	21	A MLE	Palm Beach Cardinals	—	94	78	14	4	1	0	11	15	5	0	0	179	319	256	576	77	225	16	12	275	72	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	426	392	67	15	4	13	21	161	10	1	1	171	234	329	563	158	233	38	5	246	53	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Palm Beach Cardinals	—	94	78	14	4	1	0	11	15	5	0	0	179	319	256	576	77	225	16	12	275	72	—	—	—	—	—	—
2025	22	A+ MLE	2 teams	—	426	392	67	15	4	13	21	161	10	1	1	171	234	329	563	158	233	38	5	246	53	—	—	—	—	—	—
YTD	23	A+ MLE	STL	—	375	341	69	14	2	10	29	127	4	0	0	202	273	343	616	141	288	34	8	267	67	-15	+0	+0	+7	+8	0.0
▸ 2026 season
YTD	23	A+ RAW	STL	—	375	329	83	18	2	13	41	94	4	0	0	252	342	438	780	185	314	25	11	347	67	—	—	—	—	—	—
ROS	23	A+ MLE	STL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		277	33	11	276	73	-0	+0	+0	+0	+0	0.0
TOT	23	A+ MLE	STL	—	384	349	70	14	2	10	30	130	4	0	0	201	272	338	610	138	286	34	8	267	67	-15	+0	+0	+7	+8	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	STL	38%	444	402	84	17	3	13	33	139	6	1	0	209	279	363	642	154	278	31	7	283	78	-12	+0	+0	+8	+10	0.6
2028	25	MLB MLE	STL	55%	477	431	91	19	3	14	36	145	7	1	0	211	283	367	649	155	280	30	8	289	82	-10	+0	+0	+9	+10	0.9
2029	26	MLB MLE	STL	64%	495	447	96	20	3	15	38	149	7	1	0	215	287	374	660	159	280	30	8	292	83	-10	+0	+0	+9	+11	1.0
2030	27	MLB MLE	STL	66%	502	451	97	20	3	15	39	150	7	1	0	215	288	373	660	157	280	30	8	292	84	-10	+0	+0	+9	+11	1.1
2031	28	MLB MLE	STL	67%	502	450	97	20	3	15	40	151	7	1	0	216	290	373	663	158	280	30	8	291	83	-10	+0	-1	+9	+11	1.0
2032	29	MLB MLE	STL	66%	494	445	94	19	3	14	39	149	7	1	0	211	285	362	647	151	279	30	8	290	82	-11	+0	-1	+9	+11	0.8
2033	30	MLB MLE	STL	65%	486	438	91	19	2	14	39	148	6	1	0	208	282	356	638	148	277	30	8	287	80	-11	+0	-2	+9	+11	0.6
2034	31	MLB MLE	STL	65%	459	413	85	17	2	13	37	141	6	1	0	206	281	351	632	145	275	31	8	283	77	-12	+0	-3	+8	+10	0.3
2035	32	MLB MLE	STL	65%	428	385	78	16	2	11	34	133	6	1	0	203	278	340	618	138	271	31	8	277	74	-13	+0	-4	+8	+9	0.0
2027	24	MLB CTX	STL	38%	169	153	31	7	1	4	12	53	2	0	0	203	269	340	609	137	277	31	7	269	78	-4	+0	+0	+3	+4	0.2
2028	25	MLB CTX	STL	55%	265	239	49	10	1	7	20	81	4	1	0	205	278	343	621	138	278	31	8	274	82	-6	+0	+0	+5	+6	0.5
2029	26	MLB CTX	STL	64%	315	284	60	12	2	9	24	95	4	1	0	211	282	363	645	151	279	30	8	277	83	-6	+0	+0	+6	+7	0.7
2030	27	MLB CTX	STL	66%	330	297	63	13	2	9	26	99	4	1	0	212	284	360	645	148	279	30	8	278	84	-6	+0	+0	+6	+7	0.7
2031	28	MLB CTX	STL	67%	335	300	63	13	2	9	27	101	5	1	0	210	286	357	643	147	279	30	8	277	83	-7	+0	-0	+6	+7	0.6
2032	29	MLB CTX	STL	66%	325	292	62	13	2	9	26	98	4	1	0	212	286	363	649	151	278	30	8	275	82	-7	+0	-1	+6	+7	0.5
2033	30	MLB CTX	STL	65%	317	285	59	12	2	8	25	97	4	1	0	207	280	347	628	140	276	31	8	273	80	-7	+0	-1	+6	+7	0.4
2034	31	MLB CTX	STL	65%	297	267	54	11	1	8	24	91	4	0	0	202	278	341	619	139	274	31	8	269	77	-8	+0	-2	+5	+6	0.2
2035	32	MLB CTX	STL	65%	276	248	49	10	1	7	22	86	4	0	0	198	274	331	604	133	270	31	8	264	74	-9	+0	-2	+5	+6	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2629	2365	490	101	14	70	206	801	35	6	0	207	281	351	631	143	279	30	8	273	78	-60	+1	-7	+47	+57	3.9
/ 162G	—	A+C		—	650	585	120	25	3	17	51	198	9	1	0	205	279	345	624	140	276	30	8	273	78	-15	+0	-2	+12	+14	1.0
Career	—	MLE		—	4816	4336	895	186	29	137	368	1484	74	10	1	206	280	357	637	151	276	31	8	283	78	-99	+2	-10	+77	+93	6.3
/ 162G	—	MLE		—	650	585	120	25	4	18	50	200	10	1	0	205	279	354	633	149	275	31	8	283	78	-15	+0	-2	+12	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Miguel Olivolast yr '13 career totals — 11 seasons, 3,947 PA	5.9	3,947	144	53	241	275	417	+70	+53	19.1	18.9
/162	664	24	9	+11.9	+8.8	3.2	pk7: 19
#2Rod 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
#3John 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
#4Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#5Danny 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.0	2,630	76	5	210	281	361	+47	+24	5.8	5.5
/162	664	19	1	+11.9	+6.1	1.5	pk7: 5
#6J.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

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
Josh Kross (OGILVIE)	23	30	45	40	40	199/268/343	143	277	9	1	33%	7%	73	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Colton Shaver 2019 · A	23	36→32	50	43→30	42	194/265/340	146	254	18	4	31%	7%	71	-0.8	190/269/339	149	282	18	3	37%	8%	72	-0.7	163/256/314	151	249	20	0	41%	9%	58	-1.0
✕Marcus Greene Jr. 2018 · A	23	39	47→50	42→40	42	204/265/335	132	265	15	4	29%	7%	69	-0.9	214/269/319	105	302	10	5	31%	6%	66	-1.1	199/250/262	63	298	6	0	34%	6%	42	-0.9
✕Brett Cumberland 2019 · AA	24	39→40	46→45	38→30	41	191/286/319	129	293	14	2	37%	8%	75	-0.5	197/300/318	121	289	12	3	34%	8%	80	-0.1	174/292/275	101	262	11	1	34%	8%	65	-0.5
✕Matt Wallach 2009 · A	23	40	48→45	46→40	39	206/262/350	144	278	15	3	31%	6%	72	-0.7	212/270/323	111	262	11	3	23%	6%	68	-1.0	215/288/326	111	247	13	3	18%	7%	76	-0.2
✕Jose Lobatón 2008 · A	23	43	45	43→30	46	215/286/340	125	294	13	3	30%	8%	78	-0.3	219/278/335	116	291	12	3	27%	7%	73	-0.6	233/317/359	126	296	11	0	23%	11%	91	+0.3
✕Ryan Costello 2019 · A	23	41→39	50	42→30	47	214/284/368	154	274	17	4	28%	9%	84	+0.1	201/278/335	134	291	14	4	33%	9%	74	-0.6	169/258/297	128	251	15	0	37%	11%	56	-1.3
✕Drew Ellis 2019 · A	23	40→37	47→55	37→40	45	205/268/342	138	254	15	4	26%	7%	72	-0.7	205/283/350	145	268	16	3	28%	9%	80	-0.2	183/280/352	170	235	19	4	30%	10%	78	-0.2
✕Jimmy Glowenke 2022 · A	23	42→38	46→45	43→45	40	207/277/338	131	296	13	5	33%	6%	74	-0.5	195/267/314	119	273	13	5	32%	6%	65	-1.2	180/257/286	106	245	12	5	30%	6%	53	-1.3
✕Sean Coughlin 2009 · A	24	39→37	47→50	44→30	47	200/271/332	132	250	14	2	26%	8%	71	-0.8	219/286/342	123	266	13	3	22%	8%	78	-0.3	220/290/336	116	260	13	1	20%	8%	77	-0.2
✕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
✕Joe DeCarlo 2018 · A	24	37→38	48→50	43→30	43	192/276/329	137	274	16	3	35%	8%	73	-0.6	198/269/315	117	285	12	3	33%	7%	66	-1.1	175/243/264	89	253	10	0	33%	7%	42	-1.0
✕Ian Rice 2017 · A	23	43→40	47→50	43→30	48	216/294/353	138	287	15	4	29%	9%	84	+0.2	203/288/334	131	275	15	3	30%	10%	78	-0.3	186/276/303	117	251	14	0	30%	10%	64	-0.7
✕Zack Collins 2018 · AA	23	36→42	48→50	41→40	47	183/275/321	138	287	16	2	39%	11%	70	-0.8	198/295/339	141	302	15	3	36%	12%	82	-0.0	193/300/335	143	284	15	2	34%	13%	81	-0.0
✕Yasel Antuna 2022 · A	22	39→35	45	42→50	43	197/258/322	125	267	13	5	30%	7%	63	-1.3	184/268/283	99	263	9	14	31%	10%	59	-1.7	162/259/248	85	232	9	18	31%	11%	47	-1.6
✕Taylor Gushue 2018 · A	24	36	44→45	44→30	39	187/238/295	107	252	13	2	31%	5%	49	-2.4	204/255/330	126	276	14	3	30%	6%	64	-1.3	199/260/327	128	276	15	0	32%	7%	64	-0.6
✕Tristan Gray 2019 · A	23	38→35	47→50	42→40	39	197/247/339	142	273	14	6	33%	6%	63	-1.4	201/266/339	138	261	15	4	28%	7%	70	-0.8	198/254/329	130	265	15	3	30%	6%	62	-0.9
✕Aramis Garcia 2016 · A	23	42→41	46→50	45	42	213/271/338	125	281	15	3	30%	7%	72	-0.7	215/261/345	130	289	15	3	30%	5%	70	-0.9	213/254/350	137	283	17	0	31%	4%	65	-0.7
✕Cody Morissette 2023 · A	23	37→30	46→45	45→55	41	194/258/316	122	265	14	5	32%	7%	62	-1.4	182/235/295	113	244	13	11	30%	6%	49	-2.4	182/237/299	117	239	14	19	29%	6%	48	-1.4
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3
✕Kellin Deglan 2015 · A	23	36→35	48→50	46→40	38	192/250/329	137	270	16	3	34%	6%	62	-1.4	188/236/309	121	289	15	4	39%	5%	52	-2.2	178/246/286	108	276	12	2	38%	6%	48	-0.7

Career Stats + Projections

Career Comps

Career Path Comps