Ian Petrutz — OGILVIE

Ian PetrutzOF Peoria Chiefs

Age 23 L/L 6'0" / 210 lbs A+ HR -14%BB -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION275 act + 9 ros · stats below = ROS only

showingROS

wRC+†94

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

PA9

HR0

K%22

BB%11

BABIP296

ISO101

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$14M ctrl surplus

Tools · ContractCON 50 / POW 35

Toolsscout grade

CONTACT50

scouting grade only

POWER35

scouting grade only

EYE45

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	+0.5	$1M	+$0.9M
2031	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Arb-1	$1M	+0.2	$0.5M	+$0.0M (cut)
2034	Arb-2	$1M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$4M	+$2M

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	21	A	Palm Beach Cardinals	—	115	90	31	6	1	0	17	10	7	5	1	344	482	433	916	89	388	9	15	418	169	+9	+1	—	—	+2	1.3
2025	22	A+	Peoria Chiefs	—	371	316	78	16	1	5	40	49	13	3	10	247	355	351	706	104	278	13	11	325	106	+3	-3	—	—	+8	0.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A MLE	Palm Beach Cardinals	—	115	94	28	5	1	0	13	15	7	5	1	298	421	372	793	74	348	13	11	355	126	+4	+1	—	—	+2	0.7
2025	22	A+ MLE	Peoria Chiefs	—	371	328	68	12	1	5	28	70	13	3	10	207	295	296	591	88	244	19	8	262	63	-16	-3	—	—	+8	-1.2
2024	21	A MLE	Palm Beach Cardinals	—	115	94	28	5	1	0	13	15	7	5	1	298	421	372	793	74	354	13	11	355	126	—	—	—	—	—	—
2024	21	A RAW	Palm Beach Cardinals	—	115	90	31	6	1	0	17	10	7	5	1	344	482	433	916	89	388	9	15	418	126	—	—	—	—	—	—
2025	22	A+ MLE	Peoria Chiefs	—	371	328	68	12	1	5	28	70	13	3	10	207	295	296	591	88	248	19	8	262	63	—	—	—	—	—	—
2025	22	A+ RAW	Peoria Chiefs	—	371	316	78	16	1	5	40	49	13	3	10	247	355	351	706	104	278	13	11	325	63	—	—	—	—	—	—
2024	21	A MLE	Palm Beach Cardinals	—	115	94	28	5	1	0	13	15	7	5	1	298	421	372	793	74	348	13	11	355	126	—	—	—	—	—	—
2025	22	A+ MLE	Peoria Chiefs	—	371	327	68	12	1	5	28	70	13	3	10	208	295	297	592	89	244	19	8	262	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A MLE	Palm Beach Cardinals	—	115	94	28	5	1	0	13	15	7	5	1	298	421	372	793	74	348	13	11	355	126	—	—	—	—	—	—
2025	22	A+ MLE	Peoria Chiefs	—	371	327	68	12	1	5	28	70	13	3	10	208	295	297	592	89	244	19	8	262	63	—	—	—	—	—	—
YTD	23	A+ MLE	STL	—	275	252	58	12	2	6	14	56	8	8	6	230	292	365	657	135	272	20	5	285	79	-7	-1	+0	-2	+6	-0.3
▸ 2026 season
YTD	23	A RAW	STL	—	45	40	10	2	0	2	3	6	2	0	1	250	333	450	783	200	250	13	7	349	79	—	—	—	—	—	—
YTD	23	A+ RAW	STL	—	207	180	50	12	1	4	16	31	6	8	5	278	350	422	772	144	315	15	8	342	79	—	—	—	—	—	—
YTD	23	AA RAW	STL	—	23	23	6	0	1	2	0	5	0	0	0	261	261	609	870	348	250	22	0	369	79	—	—	—	—	—	—
ROS	23	A+ MLE	STL	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		296	22	11	307	94	-0	+0	+0	-0	+0	0.0
TOT	23	A+ MLE	STL	—	284	260	59	12	2	6	15	58	8	8	6	227	290	358	647	131	269	20	5	286	79	-7	-1	+0	-2	+6	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	STL	38%	427	384	95	19	2	8	29	84	11	6	6	247	318	370	688	122	295	20	7	311	97	-2	-1	+0	-3	+9	0.4
2028	25	MLB MLE	STL	55%	461	414	103	20	2	10	33	91	11	7	6	249	321	379	700	130	295	20	7	315	99	-1	-1	+0	-3	+10	0.6
2029	26	MLB MLE	STL	64%	481	431	107	21	2	10	35	95	12	7	6	248	322	376	698	128	295	20	7	316	100	-0	-1	+0	-3	+10	0.7
2030	27	MLB MLE	STL	66%	488	437	108	21	2	11	36	97	12	7	6	247	322	380	702	133	295	20	7	316	100	+0	-1	+0	-3	+11	0.7
2031	28	MLB MLE	STL	67%	488	437	108	21	2	11	36	98	12	7	6	247	322	380	702	133	294	20	7	315	99	-0	-1	-1	-3	+11	0.6
2032	29	MLB MLE	STL	66%	481	431	106	21	2	10	36	97	11	6	6	246	320	374	694	128	293	20	7	313	98	-1	-1	-1	-3	+10	0.4
2033	30	MLB MLE	STL	65%	472	422	103	20	2	10	36	97	11	6	5	244	320	372	692	128	292	21	8	310	96	-2	-1	-2	-3	+10	0.2
2034	31	MLB MLE	STL	65%	459	410	99	19	2	9	35	95	11	5	4	241	318	363	681	122	290	21	8	306	93	-4	-1	-3	-3	+10	0.0
2027	24	MLB CTX	STL	38%	162	146	36	7	1	3	11	32	4	2	2	247	317	370	687	123	294	20	7	290	97	-1	-0	+0	-1	+4	0.2
2028	25	MLB CTX	STL	55%	256	230	56	11	1	5	18	50	6	4	3	243	315	365	680	122	294	20	7	293	99	-0	-0	+0	-2	+6	0.3
2029	26	MLB CTX	STL	64%	306	274	68	13	2	6	22	60	7	5	4	248	320	376	696	128	294	20	7	295	100	-0	-1	+0	-2	+7	0.4
2030	27	MLB CTX	STL	66%	321	286	72	14	2	7	24	64	8	5	4	252	327	388	715	136	294	20	7	295	100	+0	-1	+0	-2	+7	0.5
2031	28	MLB CTX	STL	67%	326	291	72	14	2	7	24	65	8	5	4	247	322	381	703	134	293	20	7	295	99	-0	-1	-0	-2	+7	0.4
2032	29	MLB CTX	STL	66%	316	282	69	14	1	6	24	64	7	4	4	245	319	365	685	121	293	20	8	293	98	-1	-1	-1	-2	+7	0.3
2033	30	MLB CTX	STL	65%	307	274	66	13	1	6	23	63	7	4	3	241	316	361	677	120	291	21	7	290	96	-1	-0	-1	-2	+7	0.2
2034	31	MLB CTX	STL	65%	297	266	62	12	1	5	22	62	7	3	3	233	308	342	651	109	289	21	7	286	93	-2	-1	-2	-2	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2291	2049	501	98	11	45	168	460	54	32	27	245	318	369	687	124	293	20	7	292	96	-6	-4	-5	-14	+50	2.2
/ 162G	—	A+C		—	650	581	142	28	3	13	48	131	15	9	8	244	318	370	688	126	293	20	7	292	96	-2	-1	-1	-4	+14	0.6
Career	—	MLE		—	4252	3796	926	179	18	84	318	841	111	59	56	244	321	367	688	123	292	20	7	310	96	-9	-8	-7	-23	+82	3.6
/ 162G	—	MLE		—	650	580	142	27	3	13	49	129	17	9	9	245	322	369	691	124	293	20	8	310	96	-2	-1	-1	-4	+14	0.6

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rob Mackowiaklast yr '08 career totals — 8 seasons, 2,618 PA	3.9	2,618	64	49	259	332	405	-11	-3	8.7	8.9
/162	664	16	12	-2.7	-0.8	2.2	pk7: 9
#2Alejandro De Azalast yr '17 career totals — 8 seasons, 2,819 PA	4.2	2,819	51	89	259	325	396	-6	-12	7.0	7.2
/162	664	12	21	-1.4	-2.8	1.7	pk7: 7
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.5	2,293	48	32	248	318	377	-14	+0	3.8	3.7
/162	664	14	9	-4.0	+0.0	1.1	pk7: 4
#6Nomar Mazaralast yr '22 career totals — 7 seasons, 2,690 PA	4.1	2,690	85	7	256	315	414	-29	-21	3.7	3.7
/162	664	21	2	-7.1	-5.3	0.9	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
Ian Petrutz (OGILVIE)	23	50	35	40	45	244/316/357	113	296	5	6	20%	7%	94	+0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matt Young 2006 · A	23	56→60	39→40	43→60	52	268/334/355	88	321	7	7	18%	8%	98	+1.2	254/321/331	77	305	3	14	16%	8%	87	+0.4	268/339/360	92	307	3	30	13%	8%	98	+1.2
✕Greg Garcia 2013 · AA	23	52→55	40	46→50	51	246/322/344	98	305	7	9	20%	9%	91	+0.7	239/313/330	91	309	6	12	23%	8%	85	+0.2	240/350/332	92	308	6	3	21%	13%	98	+0.6
✕Matt Koperniak 2022 · AA	24	53→55	43→45	43→45	47	254/324/369	114	305	10	6	19%	7%	99	+1.2	255/310/378	123	309	13	9	21%	6%	95	+0.9	259/310/385	126	313	15	9	22%	6%	93	+0.7
✕Ernie De La Trinidad 2019 · A	23	50→53	42→40	40	48	241/309/346	105	292	10	6	20%	7%	87	+0.4	219/282/311	92	287	9	5	25%	6%	70	-0.9	203/267/290	86	277	9	3	28%	5%	57	-1.0
✕Kevin Kramer 2017 · A	23	51→54	38→45	38→50	48	242/299/330	88	292	4	5	18%	7%	79	-0.2	240/295/356	116	319	9	9	26%	6%	84	+0.2	233/290/357	124	323	10	9	29%	6%	81	-0.1
✕Peter Ciofrone 2007 · AA	23	52→55	41→45	45→40	50	247/325/344	97	300	8	5	20%	8%	93	+0.8	230/291/338	108	271	11	3	19%	6%	79	-0.2	217/275/323	106	253	11	1	19%	6%	67	-0.8
✕Joel Capote 2013 · A	23	51	41→45	45→50	50	243/312/353	109	291	7	9	18%	8%	90	+0.6	211/271/289	78	271	4	10	22%	6%	60	-1.6	189/247/247	57	244	2	12	22%	5%	38	-1.9
✕Scott Campbell 2008 · A	23	50→57	41→40	43→40	55	239/316/338	99	280	8	5	17%	10%	88	+0.4	251/318/345	94	293	8	5	16%	9%	90	+0.6	261/328/349	88	300	7	3	15%	9%	92	+0.5
●Justin Yurchak 2019 · A	22	49→59	39→40	41→40	51	235/301/320	85	287	6	2	20%	9%	78	-0.3	249/308/353	104	317	9	3	23%	8%	88	+0.5	278/341/383	104	343	10	2	20%	8%	105	+1.0
✕Eduard Pinto 2018 · AA	23	54	39→40	43→50	46	256/297/345	89	284	6	8	13%	5%	82	-0.0	244/281/335	91	276	7	11	14%	4%	74	-0.6	255/286/336	81	281	5	12	11%	3%	73	-0.4
✕Nolan Earley 2015 · A	24	51	39→40	41→40	48	240/303/336	96	291	6	5	19%	7%	82	+0.0	220/272/297	77	303	4	4	27%	6%	61	-1.5	214/264/275	61	297	2	1	27%	6%	51	-1.4
✕Chad Boyd 2007 · A	22	57→48	40→45	41→45	48	270/314/372	102	310	5	6	15%	6%	94	+0.9	240/292/352	112	297	9	8	21%	6%	82	-0.0	232/287/346	114	286	10	8	22%	6%	76	-0.3
✕Adrian Cardenas 2011 · AAA	23	56→59	39→40	43→50	49	265/314/356	91	309	5	8	16%	6%	91	+0.6	253/306/351	98	293	6	10	15%	7%	86	+0.3	255/310/353	99	293	5	10	14%	7%	86	+0.2
✕Patrick Mazeika 2018 · AA	24	52→51	41→45	43→30	51	248/328/351	103	300	8	3	19%	8%	96	+1.0	219/284/340	121	254	13	3	19%	7%	77	-0.3	209/270/330	121	237	14	0	18%	6%	67	-0.6
●Eric Sogard 2009 · A	23	52→58	43→45	46→55	53	250/311/363	114	280	9	10	15%	8%	92	+0.7	251/311/348	97	284	7	11	13%	8%	88	+0.4	252/337/372	120	286	11	10	15%	11%	100	+0.8
✕Drew Heid 2011 · A	23	53→57	43→45	44→50	47	257/310/360	103	301	11	7	19%	6%	91	+0.6	241/301/328	87	300	7	11	21%	7%	80	-0.2	242/308/330	89	307	7	13	22%	8%	80	-0.1
✕Jayce Boyd 2014 · A	23	55→58	42→40	41→40	51	264/324/374	110	307	9	4	17%	8%	99	+1.2	253/309/346	93	303	6	4	17%	7%	86	+0.3	251/306/333	83	301	5	2	17%	7%	79	-0.1
✕Dario Pizzano 2014 · A	23	54→56	42→50	47→40	50	259/315/378	118	297	8	6	16%	7%	96	+1.0	235/293/360	125	266	9	4	15%	7%	84	+0.2	237/295/354	117	256	13	2	13%	6%	82	-0.0
✕Jeff Corsaletti 2006 · A	23	57→52	41→45	49→50	49	271/323/377	106	328	8	10	20%	7%	99	+1.2	242/320/355	113	300	9	10	21%	10%	93	+0.8	237/321/354	117	293	10	10	21%	10%	92	+0.7
✕Adam Haseley 2019 · AA	23	53→57	41→45	46→50	43	257/303/356	99	312	9	6	20%	5%	86	+0.3	241/297/351	110	300	10	9	22%	6%	84	+0.1	216/272/324	108	265	11	14	22%	6%	66	-0.8

Career Stats + Projections

Career Comps

Career Path Comps