Jon Jon Gazdar — OGILVIE

Jon Jon GazdarSS Springfield Cardinals

Age 24 R/R 5'11" / 180 lbs AA HR -14%BB -5% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION394 act + 9 ros · stats below = ROS only

showingROS

wRC+†83

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

PA9

HR0

K%11

BB%11

BABIP271

ISO66

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$25M ctrl surplus

Tools · ContractCON 60 / POW 20

Toolsscout grade

CONTACT60

scouting grade only

POWER20

scouting grade only

EYE35

scouting grade only

SPEED55

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	+0.8	$3M	+$2M
2030	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2031	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2032	Arb-1	$2M	+0.5	$1M	+$0.2M
2033	Arb-2	$2M	+0.3	$0.7M	+$0.0M (cut)
2034	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$5M		$9M	+$5M

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)
2024	22	A	Palm Beach Cardinals	—	71	61	16	3	1	0	7	5	2	2	1	262	357	344	701	82	286	7	10	319	102	+0	+0	—	—	+2	0.2
2025	23	AA	Springfield Cardinals	—	47	43	10	2	0	0	3	8	1	0	0	233	298	279	577	47	286	17	6	269	68	-2	+0	—	—	+1	-0.1
2025	23	A+	Peoria Chiefs	—	416	359	103	13	1	1	34	40	20	20	5	287	379	337	716	50	319	10	8	333	111	+6	+2	—	—	+9	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	22	A MLE	Palm Beach Cardinals	—	71	63	15	3	1	0	5	7	2	2	1	238	314	317	632	79	252	10	7	268	68	-3	+0	—	—	+2	-0.1
2025	23	AA MLE	Springfield Cardinals	—	47	44	10	2	0	0	2	10	1	0	0	227	277	273	549	45	277	21	4	236	46	-3	+0	—	—	+1	-0.2
2025	23	A+ MLE	Peoria Chiefs	—	416	370	92	10	1	1	24	57	20	20	5	249	329	289	618	41	285	14	6	276	73	-13	+2	—	—	+9	-0.2
2024	22	A MLE	Palm Beach Cardinals	—	71	63	15	3	1	0	5	7	2	2	1	238	314	317	632	79	268	10	7	268	68	—	—	—	—	—	—
2024	22	A RAW	Palm Beach Cardinals	—	71	61	16	3	1	0	7	5	2	2	1	262	357	344	701	82	286	7	10	319	68	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	463	414	102	12	1	1	26	67	21	20	5	246	323	287	611	41	290	14	6	272	70	—	—	—	—	—	—
2025	23	A+ RAW	2 teams	—	463	402	113	15	1	1	37	48	21	20	5	281	371	331	702	50	315	10	8	326	70	—	—	—	—	—	—
2024	22	A MLE	Palm Beach Cardinals	—	71	64	15	3	1	0	5	7	2	2	1	234	314	312	627	78	252	10	7	268	68	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	463	413	102	12	1	1	26	67	21	20	5	247	323	288	611	41	284	14	6	272	70	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	22	A MLE	Palm Beach Cardinals	—	71	64	15	3	1	0	5	7	2	2	1	234	314	312	627	78	252	10	7	268	68	—	—	—	—	—	—
2025	23	A+ MLE	2 teams	—	463	413	102	12	1	1	26	67	21	20	5	247	323	288	611	41	284	14	6	272	70	—	—	—	—	—	—
YTD	24	AA MLE	STL	—	394	344	79	12	0	7	30	61	14	13	0	230	317	326	643	96	255	15	8	285	79	-10	+3	+0	+4	+9	0.6
▸ 2026 season
YTD	24	AA RAW	STL	—	394	329	80	13	0	8	44	50	14	13	0	243	356	356	711	112	260	13	11	324	79	—	—	—	—	—	—
ROS	24	AA MLE	STL	2%	9	8	1	0	0	0	1	1	0	0	0	125	222	125	347		272	11	11	291	83	-0	+0	+0	+0	+0	0.0
TOT	24	AA MLE	STL	—	403	352	80	12	0	7	31	62	14	13	0	227	315	321	636	94	253	15	8	285	79	-10	+3	+0	+4	+9	0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	STL	39%	370	329	79	12	1	6	27	59	11	9	1	240	319	337	656	97	273	16	7	297	87	-6	+1	+0	+4	+8	0.8
2028	26	MLB MLE	STL	56%	498	444	107	17	1	9	37	82	14	12	1	241	319	345	664	104	275	16	7	301	90	-6	+2	+0	+5	+11	1.2
2029	27	MLB MLE	STL	62%	502	445	107	17	1	9	38	84	14	13	1	240	320	344	664	103	275	17	8	303	91	-5	+2	+0	+5	+11	1.3
2030	28	MLB MLE	STL	65%	501	444	107	17	1	9	39	85	13	12	1	241	321	345	665	104	276	17	8	302	91	-5	+2	-1	+5	+11	1.2
2031	29	MLB MLE	STL	64%	497	442	106	17	1	9	39	86	13	11	1	240	320	344	664	104	275	17	8	301	90	-6	+2	-1	+5	+11	1.1
2032	30	MLB MLE	STL	64%	414	368	87	14	1	7	32	72	11	8	1	236	316	337	653	101	274	17	8	298	88	-6	+1	-2	+4	+9	0.7
2033	31	MLB MLE	STL	64%	401	356	84	13	1	7	31	71	11	7	1	236	317	337	654	101	272	18	8	294	85	-7	+1	-3	+4	+9	0.4
2034	32	MLB MLE	STL	64%	384	341	79	12	1	6	30	70	10	6	1	232	312	326	638	94	270	18	8	289	82	-8	+1	-4	+4	+8	0.1
2035	33	MLB MLE	STL	64%	355	315	71	11	0	5	28	66	9	4	0	225	307	308	615	83	267	19	8	283	78	-9	+1	-4	+4	+8	-0.1
2027	25	MLB CTX	STL	39%	143	128	30	5	0	2	10	23	4	4	0	234	310	320	630	86	273	16	7	273	87	-2	+1	+0	+2	+3	0.3
2028	26	MLB CTX	STL	56%	278	247	60	9	1	5	21	46	8	7	1	243	322	348	671	105	274	17	8	278	90	-3	+1	+0	+3	+6	0.7
2029	27	MLB CTX	STL	62%	309	274	66	11	1	5	24	52	8	8	1	241	320	343	663	102	275	17	8	280	91	-3	+1	+0	+3	+7	0.8
2030	28	MLB CTX	STL	65%	324	287	68	11	1	5	25	55	9	8	1	237	318	334	652	98	275	17	8	280	91	-4	+1	-0	+3	+7	0.8
2031	29	MLB CTX	STL	64%	320	284	68	11	1	5	25	55	8	7	1	239	319	338	657	99	274	17	8	278	90	-4	+1	-1	+3	+7	0.7
2032	30	MLB CTX	STL	64%	267	237	55	9	0	4	21	47	7	5	0	232	313	321	634	89	274	18	8	276	88	-4	+1	-1	+3	+6	0.5
2033	31	MLB CTX	STL	64%	258	229	53	8	0	4	20	46	7	4	0	231	312	319	631	87	272	18	8	273	85	-5	+1	-2	+3	+6	0.3
2034	32	MLB CTX	STL	64%	247	220	50	8	0	4	19	45	6	4	0	227	306	318	624	91	269	18	8	268	82	-5	+1	-2	+3	+5	0.1
2035	33	MLB CTX	STL	64%	228	202	45	7	0	3	18	43	6	3	0	223	305	302	607	79	266	19	8	262	78	-6	+1	-3	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2374	2108	495	79	4	37	183	412	63	50	4	235	315	329	644	94	274	17	8	275	85	-36	+8	-9	+25	+51	4.1
/ 162G	—	A+C		—	650	577	136	22	1	10	50	113	17	14	1	236	315	329	644	94	276	17	8	275	85	-10	+2	-3	+7	+14	1.1
Career	—	MLE		—	4465	3969	945	145	10	68	333	750	129	104	14	238	318	331	649	93	276	17	7	294	85	-59	+13	-15	+42	+85	6.8
/ 162G	—	MLE		—	650	578	137	21	1	10	48	109	19	15	2	237	316	329	645	92	275	17	7	294	85	-10	+2	-2	+7	+14	1.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby 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
#2Danny 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
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#5Darwin Barneylast yr '17 career totals — 7 seasons, 2,729 PA	4.1	2,729	29	29	246	294	339	+10	+46	6.5	6.5
/162	664	7	7	+2.5	+11.2	1.6	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.6	2,381	40	49	238	314	336	+26	+15	6.1	5.8
/162	664	11	14	+7.1	+4.2	1.7	pk7: 5
#6Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5

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
Jon Jon Gazdar (OGILVIE)	24	60	20	55	35	235/314/312	78	272	4	9	15%	7%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brendan Ryan 2006 · AA	24	54→61	39→40	54→55	48	254/300/350	96	291	5	14	15%	6%	84	+0.1	245/292/330	85	283	6	17	15%	6%	76	-0.4	259/310/346	87	299	5	20	14%	6%	83	+0.1
✕Brandon Douglas 2010 · AA	24	58→55	36→40	52→50	47	271/318/339	68	307	4	9	13%	5%	88	+0.4	261/302/337	76	306	2	13	15%	5%	81	-0.1	257/298/332	75	304	2	14	15%	5%	75	-0.4
✕Bryson Brigman 2019 · AA	24	53→59	36→40	51→50	45	248/297/317	70	308	3	13	20%	6%	75	-0.5	238/294/316	78	299	4	9	20%	7%	74	-0.5	240/296/316	76	297	6	12	20%	6%	72	-0.3
✕Chesny Young 2017 · AA	24	59→64	36→30	45→50	50	279/329/350	72	323	3	13	14%	7%	95	+0.9	235/279/291	56	293	2	9	19%	6%	62	-1.4	221/261/256	35	280	1	7	20%	5%	45	-1.7
✕Leonardo Reginatto 2015 · AA	25	57→62	34→30	50→45	48	267/321/323	56	324	1	10	17%	7%	85	+0.2	247/292/312	65	302	3	6	18%	5%	72	-0.7	246/288/308	61	301	3	3	18%	5%	67	-0.8
●Jake Elmore 2011 · AA	24	52→62	37→40	48→55	53	242/311/316	74	289	3	17	17%	8%	80	-0.1	253/323/334	81	302	4	20	16%	9%	89	+0.5	264/336/347	82	313	3	23	15%	9%	95	+0.7
✕Tony Renda 2015 · A	24	54→59	36→40	52→50	48	252/310/326	73	303	2	15	17%	7%	82	+0.0	249/293/326	77	284	3	16	13%	5%	76	-0.4	251/291/332	81	289	4	14	14%	4%	73	-0.3
✕Michael Spidale 2007 · AAA	25	56→66	36→40	54→55	48	262/312/326	64	301	3	19	14%	6%	82	+0.0	261/303/343	82	296	5	19	13%	5%	83	+0.1	295/332/360	65	338	3	21	13%	4%	94	+0.7
✕Maikol Gonzalez 2010 · A	24	52→58	37→40	52→60	48	245/299/324	79	303	3	15	20%	7%	78	-0.3	225/292/308	83	307	3	16	25%	8%	72	-0.7	253/322/315	62	317	1	31	19%	9%	81	-0.0
✕Isiah Kiner-Falefa 2018 · AA	23	54→56	36→40	47→55	46	251/300/316	65	295	3	11	16%	5%	76	-0.4	245/303/332	87	293	5	12	17%	6%	81	-0.1	262/305/349	88	305	7	19	16%	5%	84	+0.1
●Kevin Newman 2018 · AAA	24	53→62	38→45	50	46	251/291/336	85	281	5	10	13%	5%	77	-0.3	263/305/361	98	297	7	16	14%	5%	88	+0.5	273/317/370	97	305	8	18	13%	5%	91	+0.5
✕Iván De Jesús Jr. 2011 · AAA	24	52→62	39→40	50	45	249/291/334	84	300	6	8	19%	5%	76	-0.4	246/293/334	88	317	6	7	23%	6%	78	-0.3	263/320/354	91	340	5	4	23%	6%	89	+0.3
✕Steve Sollmann 2006 · A	24	53→56	33→30	45→50	48	243/321/288	45	296	1	15	17%	6%	79	-0.2	244/327/309	65	289	3	15	15%	7%	86	+0.3	253/340/318	65	295	2	16	13%	8%	91	+0.6
✕Tim Lopes 2018 · AA	24	53→60	38→45	52→55	46	250/300/334	84	311	4	18	20%	6%	80	-0.2	244/293/342	98	305	6	22	21%	6%	80	-0.2	245/295/346	101	306	7	27	21%	6%	80	-0.1
✕Chris Getz 2008 · AA	24	55→56	37→40	51→60	52	256/308/327	72	281	4	16	11%	7%	81	-0.1	253/309/342	89	287	6	22	13%	7%	86	+0.3	254/313/338	83	288	5	27	13%	7%	83	+0.1
✕Ramon Soto 2013 · AAA	25	53	36→30	47→45	45	251/298/318	67	302	4	9	18%	5%	76	-0.4	249/302/324	75	307	4	9	19%	6%	79	-0.2	296/338/363	68	374	0	7	20%	5%	99	+0.3
✕Paco Figueroa 2007 · A	24	53→57	38→40	47→55	47	249/307/329	81	298	5	16	18%	6%	82	+0.0	252/309/330	78	307	3	16	17%	7%	82	+0.0	253/309/332	78	307	1	15	17%	7%	80	-0.1
✕Brandon Roberts 2009 · AA	24	52→58	37→40	51→55	44	247/295/314	67	300	4	18	19%	5%	74	-0.6	260/311/334	74	311	4	20	17%	5%	84	+0.2	270/322/338	68	322	3	24	16%	5%	87	+0.2
✕Alberto Robles 2014 · A	23	54	36→30	50→55	46	252/301/318	66	295	3	16	16%	5%	76	-0.4	222/264/304	82	267	6	13	19%	5%	60	-1.6	204/238/270	66	239	5	15	17%	4%	40	-1.2
✕Ali Castillo 2013 · A	24	54→62	40	47→55	47	257/310/357	100	293	7	15	15%	6%	90	+0.6	230/277/298	68	274	4	16	17%	5%	63	-1.3	251/285/334	83	285	4	7	13%	4%	72	-0.5

Career Stats + Projections

Career Comps

Career Path Comps