Jack Gurevitch — OGILVIE

Jack Gurevitch1B Peoria Chiefs

Age 22 L/R 6'0" / 215 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION537 act + 9 ros · stats below = ROS only

showingROS

wRC+†82

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

PA9

HR0

K%33

BB%11

BABIP291

ISO151

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$11M ctrl surplus

Tools · ContractCON 47 / POW 54

Toolsscout grade

CONTACT47

scouting grade only

POWER54

scouting grade only

EYE50

scouting grade only

SPEED40

scouting grade only

DEFENSE43

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Arb-1	$3M	—	—	—
2033	Arb-2	$5M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
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. 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	21	A	Palm Beach Cardinals	—	99	83	15	1	1	1	13	33	2	5	1	181	306	253	559	72	280	33	13	266	66	-4	+1	—	—	+2	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Palm Beach Cardinals	—	99	86	12	1	1	1	10	47	2	5	1	140	245	209	454	70	261	47	10	202	23	-9	+1	—	—	+2	-0.6
2025	21	A MLE	Palm Beach Cardinals	—	99	86	12	1	1	1	10	47	2	5	1	140	245	209	454	70	282	47	10	202	23	—	—	—	—	—	—
2025	21	A RAW	Palm Beach Cardinals	—	99	83	15	1	1	1	13	33	2	5	1	181	306	253	559	72	280	33	13	266	23	—	—	—	—	—	—
2025	21	A MLE	Palm Beach Cardinals	—	99	87	12	1	1	1	10	47	2	5	1	138	245	207	452	69	261	47	10	202	23	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Palm Beach Cardinals	—	99	87	12	1	1	1	10	47	2	5	1	138	245	207	452	69	261	47	10	202	23	—	—	—	—	—	—
YTD	22	A+ MLE	STL	—	537	490	110	21	1	23	35	221	10	7	6	224	290	412	702	188	351	41	7	299	89	-7	-1	+0	-10	+12	-0.6
▸ 2026 season
YTD	22	A RAW	STL	—	128	106	29	10	0	6	20	39	2	0	3	274	398	538	936	264	377	30	16	410	89	—	—	—	—	—	—
YTD	22	A+ RAW	STL	—	273	242	73	11	1	17	24	75	5	7	2	302	375	566	941	264	371	27	9	408	89	—	—	—	—	—	—
YTD	22	AA RAW	STL	—	136	127	32	5	0	8	5	53	3	0	1	252	296	480	777	228	358	39	4	338	89	—	—	—	—	—	—
ROS	22	A+ MLE	STL	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		293	33	11	290	82	-0	+0	-0	-0	+0	-0.0
TOT	22	A+ MLE	STL	—	546	498	111	21	1	23	36	224	10	7	6	223	289	408	696	185	348	41	7	299	89	-7	-1	-0	-10	+12	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	STL	35%	341	309	65	12	1	13	24	119	5	4	2	210	278	382	660	172	291	35	7	295	86	-6	+0	-1	-6	+7	-0.6
2028	24	MLB MLE	STL	46%	609	551	120	22	2	24	44	205	9	8	4	218	286	396	682	178	292	34	7	300	89	-8	+0	-2	-11	+13	-0.8
2029	25	MLB MLE	STL	52%	627	566	125	23	2	25	47	206	9	8	4	221	291	401	692	180	292	33	7	304	92	-6	+0	-2	-11	+14	-0.6
2030	26	MLB MLE	STL	54%	635	573	126	23	2	25	48	207	9	8	4	220	290	398	688	178	291	33	8	305	92	-6	+0	-2	-11	+14	-0.6
2031	27	MLB MLE	STL	54%	630	568	125	23	2	25	48	206	9	8	4	220	291	400	691	180	291	33	8	305	92	-6	+0	-2	-11	+14	-0.6
2032	28	MLB MLE	STL	54%	622	560	122	22	2	24	48	204	9	7	4	218	290	393	683	175	290	33	8	303	92	-6	-0	-3	-11	+13	-0.7
2033	29	MLB MLE	STL	53%	613	551	119	22	1	24	48	202	9	7	3	216	289	390	680	174	289	33	8	301	90	-7	+0	-4	-11	+13	-0.9
2027	23	MLB CTX	STL	35%	118	107	22	4	0	4	8	41	2	1	1	206	274	355	629	150	289	35	7	278	86	-2	-0	-0	-2	+3	-0.2
2028	24	MLB CTX	STL	46%	282	255	54	10	1	10	21	95	4	4	2	212	282	376	659	165	290	34	7	284	89	-4	+0	-1	-5	+6	-0.4
2029	25	MLB CTX	STL	52%	324	292	64	12	1	12	24	107	5	4	2	219	290	390	680	171	290	33	7	287	92	-3	+0	-1	-6	+7	-0.3
2030	26	MLB CTX	STL	54%	344	310	67	12	1	13	26	112	5	4	2	216	287	387	674	171	290	33	8	288	92	-3	+0	-1	-6	+7	-0.3
2031	27	MLB CTX	STL	54%	342	308	67	12	1	13	26	112	5	4	2	218	289	390	679	172	289	33	8	288	92	-3	+0	-1	-6	+7	-0.3
2032	28	MLB CTX	STL	54%	338	304	65	12	1	12	26	111	5	4	2	214	287	378	665	164	288	33	8	287	92	-3	+0	-2	-6	+7	-0.4
2033	29	MLB CTX	STL	53%	326	293	63	12	1	12	25	108	5	4	2	215	288	386	674	171	287	33	8	285	90	-4	+0	-2	-6	+7	-0.5
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2074	1869	402	74	6	76	156	686	31	25	13	215	286	383	670	168	291	33	8	286	89	-22	-0	-9	-37	+45	-2.4
/ 162G	—	A+C		—	650	586	126	23	2	24	49	215	10	8	4	215	287	384	671	169	291	33	8	286	89	-7	-0	-3	-12	+14	-0.8
Career	—	MLE		—	4185	3772	815	148	13	161	318	1399	61	55	26	216	288	390	678	174	293	33	8	300	89	-45	+0	-18	-73	+89	-4.8
/ 162G	—	MLE		—	650	586	127	23	2	25	49	217	9	9	4	217	287	391	678	174	294	33	8	300	89	-7	+0	-3	-12	+14	-0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Chris Davislast yr '20 career totals — 13 seasons, 5,630 PA	8.5	5,630	295	19	233	315	459	-96	-102	6.3	9.8
/162	664	35	2	-11.3	-12.0	0.7	pk7: 13
#2Mark Trumbolast yr '18 career totals — 8 seasons, 4,372 PA	6.6	4,372	218	23	250	303	462	-58	-63	6.2	6.6
/162	664	33	3	-8.9	-9.6	0.9	pk7: 7
#3Brandon Mosslast yr '17 career totals — 8 seasons, 3,459 PA	5.2	3,459	160	11	238	315	455	-53	-41	5.9	5.9
/162	664	31	2	-10.2	-7.9	1.1	pk7: 6
#4Justin Smoaklast yr '20 career totals — 11 seasons, 4,750 PA	7.2	4,750	196	3	229	322	419	-85	-77	1.9	3.9
/162	664	27	0	-11.9	-10.7	0.3	pk7: 6
#5Chris Carterlast yr '17 career totals — 7 seasons, 2,807 PA	4.2	2,807	158	12	219	314	462	-50	-50	3.3	3.3
/162	664	37	3	-11.7	-11.9	0.8	pk7: 3
#6Ike Davislast yr '15 career totals — 6 seasons, 2,377 PA	3.6	2,377	81	7	239	332	416	-42	-36	1.7	1.7
/162	664	23	2	-11.9	-10.1	0.5	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	3.1	2,074	81	25	219	286	396	-37	-8	-0.1	-0.0
/162	664	26	8	-11.9	-2.7	-0.0	pk7: 0

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
Jack Gurevitch (OGILVIE)	22	30→47	50→54	40	50	205/272/375	169	293	7	3	37%	7%	82	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Enmanuel Valdez 2022 · AA	23	36→46	52→55	45	41	201/254/364	163	248	21	7	29%	6%	72	-0.7	224/286/392	168	277	21	8	26%	8%	90	+0.6	220/286/384	164	268	21	8	26%	8%	86	+0.2
✕Abimelec Ortiz 2023 · A	21	36→40	50→55	43→40	40	192/263/338	146	272	19	7	36%	7%	70	-0.9	212/273/389	177	283	23	4	33%	7%	85	+0.2	209/275/391	181	265	24	2	30%	7%	83	+0.1
✕Nicky Delmonico 2014 · A	22	39→47	48→50	48→45	46	203/280/344	141	266	16	8	30%	9%	77	-0.3	216/272/353	137	293	13	6	29%	7%	76	-0.4	230/299/381	151	284	16	4	24%	8%	89	+0.4
●Chris Parmelee 2010 · A	22	40→50	48→50	44→45	45	203/281/349	146	288	16	4	34%	9%	78	-0.3	239/303/370	131	292	13	3	22%	8%	91	+0.6	248/312/386	138	291	14	1	19%	8%	96	+1.0
✕Anthony García 2014 · A	22	38→47	49→55	44→45	37	200/256/352	152	273	17	6	33%	5%	70	-0.9	207/275/344	137	258	14	6	25%	7%	75	-0.5	219/290/359	140	265	17	4	24%	7%	83	+0.0
✕Brandon Allen 2008 · A	22	40→47	47→55	45→50	35	208/246/346	138	289	15	5	33%	4%	64	-1.3	225/286/397	172	290	20	9	29%	7%	91	+0.6	223/306/403	180	284	21	9	28%	10%	97	+1.0
●Jonathan Rodríguez 2012 · A	22	41→51	50	41→50	48	213/299/367	153	274	17	5	28%	9%	89	+0.5	219/288/361	142	301	15	8	31%	8%	84	+0.1	227/303/369	142	310	17	3	30%	9%	90	+0.4
✕Aaron Baker 2011 · A	23	40→49	49→50	39→40	41	210/269/358	148	270	16	4	28%	6%	76	-0.4	220/272/363	143	294	15	4	29%	6%	78	-0.3	217/267/358	141	289	15	3	30%	6%	74	-0.4
✕Bobby Bradley 2018 · AA	22	38→40	52→60	44→40	39	204/264/367	163	286	21	4	36%	7%	76	-0.4	206/264/394	188	284	24	3	35%	7%	82	+0.0	193/258/399	206	256	29	0	36%	7%	80	-0.1
✕Abraham Toro 2019 · AA	22	39→49	47→50	47→45	45	202/268/344	142	252	15	6	26%	7%	72	-0.7	236/307/383	147	281	15	7	21%	7%	96	+1.0	236/307/384	148	268	16	7	18%	8%	93	+0.7
✕Daniel Palka 2015 · A	23	40→43	49→55	47→50	42	207/267/358	151	280	17	6	32%	7%	75	-0.5	210/262/376	166	301	21	10	36%	6%	77	-0.3	207/276/382	174	264	24	4	31%	8%	82	+0.0
✕Jordan Patterson 2014 · A	22	44→49	47→50	45→50	43	223/292/356	134	267	15	10	23%	5%	84	+0.2	222/282/349	127	304	12	13	30%	5%	78	-0.3	221/280/376	155	306	15	9	31%	5%	81	-0.0
●Will Benson 2019 · A	21	28→38	47→55	46→55	43	157/251/282	125	249	16	9	41%	10%	53	-2.1	177/260/329	152	276	18	14	40%	10%	66	-1.1	219/322/395	175	313	17	26	32%	12%	101	+1.0
✕Parker Meadows 2022 · A	22	36→46	42→55	43→55	40	183/242/280	97	259	10	9	32%	6%	47	-2.5	216/279/367	151	277	16	17	27%	8%	81	-0.1	222/289/387	165	276	18	21	26%	8%	87	+0.4
✕Jason Martin 2018 · AA	22	43→49	48→60	47→50	40	217/266/366	149	290	16	13	31%	6%	76	-0.4	227/272/356	129	296	12	12	26%	6%	75	-0.5	219/286/408	189	272	25	8	29%	8%	91	+0.4
✕Aderlin Rodríguez 2014 · A	22	39→48	48→55	45→30	39	208/245/346	138	252	17	3	26%	4%	63	-1.3	214/250/344	130	276	14	3	27%	4%	65	-1.2	238/283/415	178	287	23	1	26%	4%	92	+0.5
✕Alex Binelas 2023 · AA	23	35→43	53→50	51→50	42	193/260/363	170	265	22	7	36%	8%	74	-0.5	201/266/345	144	297	17	12	36%	8%	72	-0.7	219/299/362	143	313	18	8	34%	10%	85	+0.2
✕Andy Wilkins 2012 · A	23	43→45	49→50	43→45	45	222/274/365	143	263	17	4	23%	7%	79	-0.2	222/275/371	149	271	17	4	24%	7%	81	-0.1	221/272/374	152	267	18	3	24%	6%	78	-0.2
✕Mark Shorey 2007 · A	22	39→49	51→50	48→30	36	209/257/362	153	284	20	3	34%	5%	72	-0.7	234/274/363	129	308	14	2	28%	4%	78	-0.3	241/279/364	122	315	13	2	27%	4%	78	-0.2
✕William Beckwith 2013 · A	22	44	48→50	47→50	39	222/278/364	142	295	16	11	30%	5%	81	-0.1	219/285/362	143	306	17	11	32%	7%	83	+0.1	188/276/349	161	252	23	10	34%	8%	76	-0.2

Career Stats + Projections

Career Comps

Career Path Comps