Pedro Ibarguen

RF Wilson Warbirds

Age 21 R/R 5'10" / 180 lbs A HR +10%K +6% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2338ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKMIL	145	.158/.319/.184	0	9	4	—	.113/.220/.137
2025	19	A/ROK2 orgs	174	.290/.408/.407	3	18	78	—	.234/.322/.324
2026	20	AMIL	335	.245/.372/.361	5	19	69	—	.203/.303/.292
2027PROJMLE	21	MLBMIL	445	.214/.305/.315	6	11	78	-0.1
2028PROJ34% MLB	22	MLBMIL	94	.217/.307/.328	2	2	84	-0.1
2029PROJ48% MLB	23	MLBMIL	175	.220/.310/.339	3	4	87	-0.1

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Chase%79

BB%74

K%57

wOBA55

wRC+54

Speed46

Career WAR0.0 WAR median (P10 -0.1 / P90 2.4, comp-based) · star 2% · didn't stick 86%

CompsAlexis Hernandez (age 21) · Cody Freeman (age 21) · Troy Stokes Jr. (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†78

AVG/OBP/SLG.212 / .302 / .312

PA210

HR3

SB5

K%25

BB%10

ISO101

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 41 / POW 41

Toolsscout grade

CONTACT41

scouting grade only

POWER41

scouting grade only

EYE63

scouting grade only

SPEED62

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$0.2M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.4M	+$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. 2027 = full-season projection (no games played yet). 2028+ 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)
2023	17	ROK	DSL Brewers 2	—	167	132	41	7	1	3	25	32	7	7	7	311	445	447	892	136	380	19	15	399	61	—	—	—	—	—	—
2024	18	ROK	ACL Brewers	—	145	114	18	1	1	0	26	43	1	9	2	158	319	184	503	26	240	30	18	250	4	—	—	—	—	—	—
2025	19	A	Carolina Mudcats	—	68	56	15	0	0	1	11	16	1	6	1	268	397	321	718	54	359	24	16	341	79	—	—	—	—	—	—
2025	19	ROK	ACL Brewers	—	106	89	27	4	2	2	16	15	1	12	4	303	415	461	876	157	347	14	15	393	78	—	—	—	—	—	—
2026	20	A	Wilson Warbirds	—	335	274	67	15	1	5	51	77	6	19	12	245	372	361	734	117	320	23	15	337	69	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Brewers 2	—	167	139	27	4	1	1	18	38	7	7	7	194	317	259	576	65	238	23	11	258	61	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	145	124	14	1	1	0	16	62	1	9	2	113	220	137	357	24	194	43	11	174	4	—	—	—	—	—	—
2025	19	A MLE	Carolina Mudcats	—	68	59	14	0	0	1	8	21	1	6	1	237	338	288	626	51	361	31	12	285	79	—	—	—	—	—	—
2025	19	ROK MLE	ACL Brewers	—	106	95	22	3	1	2	10	22	1	12	4	232	311	347	659	116	278	21	9	284	78	—	—	—	—	—	—
2026	20	A MLE	Wilson Warbirds	—	335	291	59	12	1	4	36	105	6	19	12	203	303	292	595	89	293	31	11	270	69	—	—	—	—	—	—
2023	17	ROK MLE	DSL Brewers 2	—	167	139	27	4	1	1	18	38	7	7	7	194	317	259	576	65	252	23	11	258	61	—	—	—	—	—	—
2023	17	ROK RAW	DSL Brewers 2	—	167	132	41	7	1	3	25	32	7	7	7	311	445	447	892	136	380	19	15	399	61	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	145	124	14	1	1	0	16	62	1	9	2	113	220	137	357	24	212	43	11	174	4	—	—	—	—	—	—
2024	18	ROK RAW	ACL Brewers	—	145	114	18	1	1	0	26	43	1	9	2	158	319	184	503	26	240	30	18	250	4	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	174	154	35	3	1	2	18	43	2	18	5	227	316	299	615	71	303	25	10	284	79	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	174	145	42	4	2	3	27	31	2	18	5	290	408	407	815	117	351	18	16	372	79	—	—	—	—	—	—
2026	20	A MLE	Wilson Warbirds	—	335	291	59	12	1	4	36	105	6	19	12	203	303	292	595	89	299	31	11	270	69	—	—	—	—	—	—
2026	20	A RAW	Wilson Warbirds	—	335	274	67	15	1	5	51	77	6	19	12	245	372	361	734	117	320	23	15	337	69	—	—	—	—	—	—
2023	17	ROK MLE	DSL Brewers 2	—	167	140	27	4	1	1	18	38	7	7	7	193	317	257	574	64	238	23	11	258	61	—	—	—	—	—	—
2024	18	ROK MLE	ACL Brewers	—	145	127	14	1	1	0	16	62	1	9	2	110	220	134	354	24	194	43	11	174	4	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	174	152	35	3	1	2	18	43	2	18	5	230	316	303	619	72	310	25	10	284	79	—	—	—	—	—	—
2026	20	A MLE	Wilson Warbirds	—	335	290	59	12	1	4	36	105	6	19	12	203	303	293	596	90	293	31	11	270	69	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	ACL Brewers	—	145	127	14	1	1	0	16	62	1	9	2	110	220	134	354	24	194	43	11	174	4	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	174	152	35	3	1	2	18	43	2	18	5	230	316	303	619	72	310	25	10	284	79	—	—	—	—	—	—
2026	20	A MLE	Wilson Warbirds	—	335	290	59	12	1	4	36	105	6	19	12	203	303	293	596	90	293	31	11	270	69	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	MIL	0%	445	392	84	17	2	6	45	110	5	11	4	214	305	315	620	101	278	25	10	284	78	-11	+1	+0	-5	+10	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	MIL	34%	275	242	53	10	1	5	28	67	3	7	3	219	309	331	640	112	280	24	10	292	84	-5	+0	+0	-3	+6	-0.2
2029	23	MLB MLE	MIL	48%	362	318	72	14	2	7	37	86	4	9	3	223	312	342	654	119	281	24	10	297	87	-5	+1	+0	-4	+8	-0.1
2030	24	MLB MLE	MIL	53%	418	367	82	16	2	8	43	99	5	11	4	226	314	349	663	123	283	24	10	301	90	-5	+1	+0	-4	+9	0.0
2031	25	MLB MLE	MIL	55%	448	395	89	17	2	9	45	105	5	11	4	227	315	353	669	126	283	23	10	303	91	-5	+1	+0	-5	+10	0.1
2032	26	MLB MLE	MIL	56%	463	408	93	18	2	10	47	109	5	12	4	228	315	356	671	128	283	24	10	303	91	-5	+1	+0	-5	+10	0.1
2033	27	MLB MLE	MIL	55%	468	413	93	18	2	10	47	110	5	12	4	226	314	353	667	126	282	24	10	302	90	-5	+1	+0	-5	+10	0.1
2034	28	MLB MLE	MIL	55%	466	411	93	18	2	10	47	111	5	11	4	224	312	347	659	123	281	24	10	299	88	-6	+1	-1	-5	+10	-0.1
2035	29	MLB MLE	MIL	58%	455	401	89	17	2	9	46	110	5	9	4	221	309	340	649	119	279	24	10	295	86	-8	+0	-1	-5	+10	-0.4
2028	22	MLB CTX	MIL	34%	94	83	17	3	0	2	10	23	1	2	1	217	307	328	635	111	275	24	11	290	84	-2	+0	+0	-1	+2	-0.1
2029	23	MLB CTX	MIL	48%	175	153	33	6	1	3	18	42	2	4	2	220	310	339	649	119	277	24	10	295	87	-3	+0	+0	-2	+4	-0.1
2030	24	MLB CTX	MIL	53%	220	193	44	8	1	5	22	52	3	6	2	223	312	347	659	124	278	24	10	299	90	-3	+0	+0	-2	+5	0.0
2031	25	MLB CTX	MIL	55%	245	215	48	9	1	5	25	58	3	6	2	225	313	351	664	127	278	24	10	301	91	-3	+0	+0	-3	+5	0.0
2032	26	MLB CTX	MIL	56%	258	227	51	9	1	6	26	61	3	6	2	225	313	354	667	128	278	24	10	302	91	-3	+0	+0	-3	+6	0.1
2033	27	MLB CTX	MIL	55%	257	226	51	9	1	6	26	61	3	6	2	224	312	351	663	127	278	24	10	300	90	-3	+0	+0	-3	+6	0.0
2034	28	MLB CTX	MIL	55%	255	224	50	9	1	6	26	61	3	6	2	222	310	345	655	123	276	24	10	297	88	-4	+0	-0	-3	+6	-0.1
2035	29	MLB CTX	MIL	58%	264	232	50	9	1	5	27	64	3	5	2	219	307	338	645	119	274	24	10	293	86	-5	+0	-1	-3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1768	1553	344	62	7	38	180	422	21	41	15	222	311	344	655	122	278	24	10	298	82	-23	+2	-1	-19	+38	-0.3
/ 162G	—	A+C		—	650	571	127	23	3	14	66	155	8	15	6	222	312	347	659	124	279	24	10	298	82	-9	+1	-0	-7	+14	-0.1
Career	—	MLE		—	4386	3848	839	156	20	78	449	1097	55	140	58	218	309	330	638	112	282	25	10	290	82	-50	+5	-2	-38	+77	-0.9
/ 162G	—	MLE		—	650	570	125	23	3	12	67	163	8	21	9	219	310	333	643	114	283	25	10	290	82	-9	+1	-0	-7	+14	-0.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AWilson Warbirds · 335 PAwOBA .330 → .270 (−60)K% 23.0% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.99%	÷1.000	×1.360	—	—	31.26%
BB% (unintentional) /PA	14.93%	÷1.000	×0.690	—	×1.030	10.61%
HBP% /PA	1.79%	—	×0.780	—	×1.030	1.44%
Singles /BIP	23.35%	÷1.000	×0.920	×0.996	×1.030	22.03%
Doubles /BIP	7.61%	÷1.000	×0.830	×0.996	×1.030	6.48%
Triples /BIP	0.51%	÷1.000	×0.910	×0.996	×1.030	0.47%
Home runs /BIP	2.54%	÷1.000	×0.800	—	×1.030	2.09%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.

Result: wOBA .330 → .270; ISO .117 → .095; BABIP .320 → .293. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ROKACL Brewers · 106 PAwOBA .383 → .284 (−100)K% 14.2% → 20.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.15%	÷0.973	×1.440	—	—	20.95%
BB% (unintentional) /PA	15.09%	÷1.011	×0.620	—	×1.008	9.32%
HBP% /PA	0.94%	—	×0.720	—	×1.008	0.68%
Singles /BIP	25.68%	÷1.031	×0.820	×1.042	×1.008	21.44%
Doubles /BIP	5.41%	÷1.109	×0.720	×1.042	×1.008	3.69%
Triples /BIP	2.70%	÷1.001	×0.720	×1.042	×1.008	2.04%
Home runs /BIP	2.70%	÷0.971	×0.780	—	×1.008	2.19%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 106, 2B 122, 3B 100, K 95, BB 102 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.042.

Result: wOBA .383 → .284; ISO .157 → .118; BABIP .347 → .278. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 ACarolina Mudcats · 68 PAwOBA .333 → .285 (−48)K% 23.5% → 31.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.033	×1.360	—	—	30.99%
BB% (unintentional) /PA	16.18%	÷0.981	×0.690	—	×1.045	11.89%
HBP% /PA	1.47%	—	×0.780	—	×1.045	1.20%
Singles /BIP	35.00%	÷0.948	×0.920	—	×1.045	35.48%
Doubles /BIP	0.00%	÷1.002	×0.830	—	×1.045	0.00%
Triples /BIP	0.00%	÷1.150	×0.910	—	×1.045	0.00%
Home runs /BIP	2.50%	÷1.214	×0.800	—	×1.045	1.72%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 90, 2B 100, 3B 130, K 107, BB 96 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .333 → .285; ISO .054 → .035; BABIP .359 → .361. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 ROKACL Brewers · 145 PAwOBA .252 → .174 (−78)K% 29.7% → 42.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.66%	÷1.002	×1.440	—	—	42.61%
BB% (unintentional) /PA	17.93%	÷1.014	×0.620	—	×1.022	11.21%
HBP% /PA	0.69%	—	×0.720	—	×1.022	0.51%
Singles /BIP	22.54%	÷1.015	×0.820	×0.994	×1.022	18.51%
Doubles /BIP	1.41%	÷1.088	×0.720	×0.994	×1.022	0.95%
Triples /BIP	1.41%	÷0.900	×0.720	×0.994	×1.022	1.15%
Home runs /BIP	0.00%	÷0.947	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 103, 2B 118, 3B 80, K 100, BB 103 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.

Result: wOBA .252 → .174; ISO .026 → .019; BABIP .240 → .194. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 DSLDSL Brewers 2 · 167 PAwOBA .396 → .258 (−139)K% 19.2% → 22.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.16%	÷1.023	×1.220	—	—	22.86%
BB% (unintentional) /PA	14.97%	÷0.996	×0.700	—	×1.022	10.76%
HBP% /PA	4.19%	—	×0.700	—	×1.022	3.00%
Singles /BIP	30.00%	÷1.008	×0.680	×0.950	×1.022	19.65%
Doubles /BIP	7.00%	÷0.986	×0.600	×0.950	×1.022	4.14%
Triples /BIP	1.00%	÷1.125	×0.600	×0.950	×1.022	0.52%
Home runs /BIP	3.00%	÷1.904	×0.470	—	×1.022	0.76%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 281, 1B 102, 2B 97, 3B 125, K 105, BB 99 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .396 → .258; ISO .136 → .060; BABIP .380 → .238. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5
#4Connor Joelast yr '25 career totals — 5 seasons, 1,646 PA	2.5	1,646	35	13	241	335	387	-21	-16	1.9	1.9
/162	664	14	5	-8.3	-6.6	0.7	pk7: 2
#5James Mouton'94-'01 * career totals — 8 seasons, 1,795 PA	2.7	1,795	18	109	235*	314*	329*	-11	-0	0.7	1.0
/162	664	7	40	-4.2	-0.1	0.3	pk7: 1
#6Greg Briley'88-'93 * career totals — 5 seasons, 1,670 PA	2.5	1,670	29	65	251*	309*	399*	-17	-4	0.9	0.9
/162	664	12	26	-6.8	-1.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.0	1,979	39	48	225	310	346	-21	-5	0.8	0.9
/162	664	13	16	-7.1	-1.7	0.3	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
Pedro Ibarguen (OGILVIE)	21	36→41	36→41	57→62	63	212/302/312	100	278	3	5	25%	10%	78	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alexis Hernandez 2024 · A	21	44→50	39→50	52→50	48	209/282/296	87	276	7	15	26%	8%	66	-1.1	216/289/327	111	296	11	18	29%	8%	76	-0.4	220/295/346	126	292	14	18	28%	8%	80	-0.1
●Cody Freeman 2022 · A	21	44→54	41→50	53→50	48	212/289/312	100	263	9	11	22%	8%	73	-0.6	206/260/326	120	247	14	9	22%	6%	65	-1.2	257/301/394	137	287	15	10	16%	5%	94	+0.6
✕Troy Stokes Jr. 2017 · A	21	44→40	39→50	55	45	212/283/303	91	280	6	19	25%	7%	68	-1.0	207/280/342	135	279	13	18	29%	8%	76	-0.4	195/275/337	142	264	15	19	30%	8%	71	-0.6
✕Cayden Wallace 2023 · A	21	46→49	42→50	57→50	43	224/279/341	116	300	8	15	27%	6%	74	-0.5	220/277/337	117	289	10	12	26%	6%	73	-0.6	232/281/372	140	285	16	15	24%	5%	80	-0.1
✕Jared Serna 2023 · A	21	40→48	42→45	54→50	51	196/289/300	104	251	9	21	24%	9%	71	-0.8	219/276/335	116	269	11	15	22%	6%	72	-0.7	216/271/322	106	262	11	16	21%	6%	65	-1.1
✕Juan Mora 2021 · A	21	40	39→45	53→55	52	192/277/280	88	229	6	14	19%	8%	61	-1.5	221/287/329	108	296	9	10	27%	6%	75	-0.5	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Adrian Pinto 2024 · A	21	48	38→45	56→65	53	222/315/303	82	283	4	25	21%	10%	81	-0.1	237/306/380	143	292	14	11	23%	8%	95	+0.9	237/306/381	144	288	10	4	20%	8%	90	+0.2
●Jakob Marsee 2023 · A	22	44→49	42→45	58→60	54	211/313/323	113	290	8	21	28%	12%	85	+0.2	220/320/345	125	277	13	33	24%	11%	93	+0.8	217/321/350	133	273	12	37	23%	11%	92	+0.8
✕Colin Walsh 2011 · A	21	44→52	40→45	53→50	52	213/295/309	95	271	8	10	23%	10%	74	-0.6	224/297/348	124	275	11	8	21%	9%	84	+0.1	214/321/331	117	302	10	7	29%	13%	87	+0.3
✕Christian Cairo 2022 · A	21	41→49	40	53→60	46	191/289/283	92	297	8	16	35%	10%	67	-1.1	200/301/282	82	297	6	18	31%	11%	71	-0.8	219/314/286	67	298	3	31	25%	10%	75	-0.4
✕Jhostynxon Garcia 2024 · A	21	38→44	41→50	52→50	43	182/258/286	104	279	7	9	35%	8%	55	-1.9	220/276/370	150	298	17	10	31%	6%	81	-0.1	226/279/379	153	297	20	9	30%	5%	81	-0.0
●Jahmai Jones 2019 · AA	21	47→51	43→50	55→50	46	228/291/347	119	293	10	16	25%	7%	80	-0.1	206/267/305	99	276	8	12	27%	7%	62	-1.4	250/346/426	175	326	16	18	26%	11%	116	+1.4
✕Kenedy Corona 2021 · A	21	46→42	42→50	53→55	46	221/284/328	107	271	8	14	21%	6%	74	-0.5	210/267/329	119	292	12	21	31%	6%	68	-1.0	203/263/338	135	278	15	26	31%	6%	66	-0.8
✕Jason Taylor 2009 · A	21	43→40	46→50	53→55	51	214/301/343	129	269	14	20	25%	10%	84	+0.2	213/273/327	114	268	11	17	24%	7%	70	-0.9	205/251/306	101	252	8	18	21%	5%	55	-0.6
✕Oliver Carrillo 2023 · A	21	42→28	46→45	52→45	49	210/293/339	129	282	13	7	29%	10%	80	-0.1	187/296/309	122	278	13	4	34%	12%	76	-0.4	158/271/272	114	242	14	3	37%	11%	58	-0.8
✕Sam McWilliams 2019 · A	21	46→52	39→50	54→50	43	214/280/306	92	310	5	15	31%	7%	67	-1.1	212/271/315	103	332	8	9	36%	7%	66	-1.1	236/300/388	152	376	15	10	38%	8%	92	+0.5
✕Samad Taylor 2019 · A	21	39→49	41→50	54→65	45	193/258/302	109	254	8	22	26%	7%	58	-1.7	195/272/314	119	297	11	25	35%	8%	67	-1.1	242/320/377	134	335	14	46	29%	9%	98	+0.7
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	208/273/317	109	269	11	18	26%	7%	68	-1.0	210/276/360	150	277	17	18	29%	7%	79	-0.2	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Daz Cameron 2018 · A	21	42→48	45→50	53→55	40	206/268/336	130	291	12	19	32%	6%	70	-0.8	209/279/335	126	306	11	17	33%	7%	74	-0.5	227/297/394	166	289	18	26	27%	8%	92	+0.3

Pedro Ibarguen

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps