Edgardo Ordonez

C Wisconsin Timber Rattlers

Age 23 L/R 5'11" / 155 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#1765ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	ROKMIL	125	.272/.395/.495	7	0	63	—	.171/.258/.315
2025	21	ACarolina Mudc…	83	.141/.329/.219	1	0	24	—	.116/.256/.188
2026	22	A+MIL	39	.194/.237/.361	1	0	20	—	.162/.184/.297
2027PROJMLE	23	MLBMIL	149	.204/.275/.312	3	1	66	0.0
2028PROJ30% MLB	24	MLBMIL	29	.206/.277/.321	1	0	70	0.0
2029PROJ44% MLB	25	MLBMIL	71	.209/.280/.329	2	0	73	0.1

Next 3 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$3M+2

Skills · percentileMiLB Statcast 2025 A

BB%96

Chase%79

ISO42

wOBA26

Z-Con%26

wRC+24

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsSean Coughlin (age 23) · Randy Florentino (age 23) · Michael Pérez (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 39 proj PA

wRC+†66

AVG/OBP/SLG.202 / .272 / .309

PA39

HR1

K%31

BB%8

ISO108

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
2034	Arb-1	$3M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.3M	+$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. Catcher framing: only 2027 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 1-3 WAR low.

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)
2021	17	ROK	DSL Brewers 1	—	103	84	25	10	1	0	14	20	5	3	1	298	427	440	868	143	391	19	14	394	58	—	—	—	—	—	—
2022	18	ROK	DSL Brewers 1	—	120	100	29	6	0	2	18	27	1	1	0	290	403	410	813	120	375	22	15	368	40	—	—	—	—	—	—
2023	19	ROK	ACL Brewers	—	99	79	20	8	0	1	18	31	0	2	2	253	392	392	784	139	388	31	18	352	40	—	—	—	—	—	—
2024	20	ROK	ACL Brewers	—	125	103	28	2	0	7	21	35	0	0	1	272	395	495	890	223	339	28	17	392	63	—	—	—	—	—	—
2025	21	A	Carolina Mudcats	—	83	64	9	2	0	1	17	26	1	0	0	141	329	219	548	78	211	31	20	273	24	—	—	—	—	—	—
2026	22	A+	Wisconsin Timber Rattlers	—	39	36	7	3	0	1	2	12	0	0	0	194	237	361	598	167	250	31	5	258	20	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Brewers 1	—	103	88	17	6	1	0	10	26	5	3	1	193	311	284	595	91	252	25	10	254	58	—	—	—	—	—	—
2022	18	ROK MLE	DSL Brewers 1	—	120	105	17	3	0	1	13	34	1	1	0	162	261	219	480	57	232	28	11	227	40	—	—	—	—	—	—
2023	19	ROK MLE	ACL Brewers	—	99	86	13	5	0	1	11	46	0	2	2	151	247	244	492	93	290	46	11	227	40	—	—	—	—	—	—
2024	20	ROK MLE	ACL Brewers	—	125	111	19	1	0	5	13	50	0	0	1	171	258	315	573	144	252	40	10	261	63	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	83	69	8	2	0	1	12	34	1	0	0	116	256	188	445	72	188	41	14	203	24	—	—	—	—	—	—
2026	22	A+ MLE	Wisconsin Timber Rattlers	—	39	37	6	2	0	1	1	15	0	0	0	162	184	297	482	135	213	38	3	198	20	—	—	—	—	—	—
2021	17	ROK MLE	DSL Brewers 1	—	103	88	17	6	1	0	10	26	5	3	1	193	311	284	595	91	274	25	10	254	58	—	—	—	—	—	—
2021	17	ROK RAW	DSL Brewers 1	—	103	84	25	10	1	0	14	20	5	3	1	298	427	440	868	143	391	19	14	394	58	—	—	—	—	—	—
2022	18	ROK MLE	DSL Brewers 1	—	120	105	17	3	0	1	13	34	1	1	0	162	261	219	480	57	225	28	11	227	40	—	—	—	—	—	—
2022	18	ROK RAW	DSL Brewers 1	—	120	100	29	6	0	2	18	27	1	1	0	290	403	410	813	120	375	22	15	368	40	—	—	—	—	—	—
2023	19	ROK MLE	ACL Brewers	—	99	86	13	5	0	1	11	46	0	2	2	151	247	244	492	93	293	46	11	227	40	—	—	—	—	—	—
2023	19	ROK RAW	ACL Brewers	—	99	79	20	8	0	1	18	31	0	2	2	253	392	392	784	139	388	31	18	352	40	—	—	—	—	—	—
2024	20	ROK MLE	ACL Brewers	—	125	111	19	1	0	5	13	50	0	0	1	171	258	315	573	144	246	40	10	261	63	—	—	—	—	—	—
2024	20	ROK RAW	ACL Brewers	—	125	103	28	2	0	7	21	35	0	0	1	272	395	495	890	223	339	28	17	392	63	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	83	69	8	2	0	1	12	34	1	0	0	116	256	188	445	72	200	41	14	203	24	—	—	—	—	—	—
2025	21	A RAW	Carolina Mudcats	—	83	64	9	2	0	1	17	26	1	0	0	141	329	219	548	78	211	31	20	273	24	—	—	—	—	—	—
2026	22	A+ MLE	Wisconsin Timber Rattlers	—	39	37	6	2	0	1	1	15	0	0	0	162	184	297	482	135	227	38	3	198	20	—	—	—	—	—	—
2026	22	A+ RAW	Wisconsin Timber Rattlers	—	39	36	7	3	0	1	2	12	0	0	0	194	237	361	598	167	250	31	5	258	20	—	—	—	—	—	—
2021	17	ROK MLE	DSL Brewers 1	—	103	87	17	6	1	0	10	26	5	3	1	195	311	287	598	92	252	25	10	254	58	—	—	—	—	—	—
2022	18	ROK MLE	DSL Brewers 1	—	120	105	17	3	0	1	13	34	1	1	0	162	261	219	480	57	232	28	11	227	40	—	—	—	—	—	—
2023	19	ROK MLE	ACL Brewers	—	99	88	13	5	0	1	11	46	0	2	2	148	247	239	486	91	290	46	11	227	40	—	—	—	—	—	—
2024	20	ROK MLE	ACL Brewers	—	125	111	19	1	0	5	13	50	0	0	1	171	258	315	573	144	252	40	10	261	63	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	83	70	8	2	0	1	12	34	1	0	0	114	256	186	442	71	188	41	14	203	24	—	—	—	—	—	—
2026	22	A+ MLE	Wisconsin Timber Rattlers	—	39	38	6	2	0	1	1	15	0	0	0	158	184	289	474	132	213	38	3	198	20	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	ROK MLE	ACL Brewers	—	125	111	19	1	0	5	13	50	0	0	1	171	258	315	573	144	252	40	10	261	63	—	—	—	—	—	—
2025	21	A MLE	Carolina Mudcats	—	83	70	8	2	0	1	12	34	1	0	0	114	256	186	442	71	188	41	14	203	24	—	—	—	—	—	—
2026	22	A+ MLE	Wisconsin Timber Rattlers	—	39	38	6	2	0	1	1	15	0	0	0	158	184	289	474	132	213	38	3	198	20	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	MIL	0%	149	135	28	5	1	3	12	47	1	1	0	204	275	312	586	108	286	32	8	266	66	-6	+0	+0	+3	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	MIL	30%	97	88	19	3	1	2	8	30	1	0	0	208	279	322	601	114	288	31	8	272	70	-3	+0	+0	+2	+2	0.0
2029	25	MLB MLE	MIL	44%	161	146	30	5	1	3	13	49	1	0	0	211	282	330	612	120	288	30	8	276	73	-5	+0	+0	+3	+3	0.1
2030	26	MLB MLE	MIL	51%	220	198	42	7	1	5	18	66	2	0	0	213	284	336	620	124	288	30	8	279	75	-6	+0	+0	+4	+5	0.2
2031	27	MLB MLE	MIL	52%	259	234	50	9	1	6	21	77	2	0	0	213	285	337	622	124	288	30	8	280	76	-7	+0	+0	+5	+6	0.3
2032	28	MLB MLE	MIL	53%	285	258	54	10	1	6	23	84	2	0	0	213	284	336	620	123	287	29	8	280	75	-8	+0	-1	+5	+6	0.2
2033	29	MLB MLE	MIL	53%	292	264	55	10	1	6	24	87	2	0	0	211	282	330	611	119	285	30	8	276	73	-9	+0	-1	+5	+6	0.1
2034	30	MLB MLE	MIL	52%	296	268	55	10	1	6	24	89	2	0	0	207	278	322	600	114	283	30	8	271	70	-11	+0	-2	+5	+6	-0.1
2028	24	MLB CTX	MIL	30%	29	27	6	1	0	1	2	9	0	0	0	206	277	321	598	115	283	31	7	270	70	-1	+0	+0	+1	+1	0.0
2029	25	MLB CTX	MIL	44%	71	64	13	2	0	2	6	22	1	0	0	209	280	329	609	120	284	31	8	275	73	-2	+0	+0	+1	+2	0.1
2030	26	MLB CTX	MIL	51%	112	101	23	4	1	3	9	34	1	0	0	211	282	335	617	125	284	30	8	278	75	-3	+0	+0	+2	+2	0.1
2031	27	MLB CTX	MIL	52%	136	123	26	4	1	3	11	40	1	0	0	211	283	336	619	125	283	29	8	279	76	-4	+0	+0	+2	+3	0.1
2032	28	MLB CTX	MIL	53%	152	137	30	5	1	4	13	45	1	0	0	211	283	335	618	124	282	30	9	278	75	-4	+0	-0	+3	+3	0.1
2033	29	MLB CTX	MIL	53%	153	138	29	5	1	3	13	46	1	0	0	208	280	328	608	120	281	30	8	275	73	-5	+0	-1	+3	+3	0.0
2034	30	MLB CTX	MIL	52%	154	140	29	5	1	3	12	46	1	0	0	205	276	321	597	115	279	30	8	270	70	-6	+0	-1	+3	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	807	730	156	26	5	19	66	242	6	0	0	214	284	341	625	127	289	30	8	275	66	-25	+0	-2	+14	+17	0.4
/ 162G	—	A+C		—	650	588	125	21	4	15	53	195	5	0	0	213	283	338	622	126	288	30	8	275	66	-21	+0	-2	+12	+14	0.3
Career	—	MLE		—	2218	1988	392	74	8	44	194	699	19	6	4	197	275	309	584	112	277	32	9	265	66	-53	+0	-4	+29	+36	0.9
/ 162G	—	MLE		—	650	583	115	22	2	13	57	205	6	2	1	197	276	309	585	111	276	32	9	265	66	-21	+0	-2	+12	+14	0.3

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 A+Wisconsin Timber Rattlers · 39 PAwOBA .257 → .198 (−59)K% 30.8% → 39.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.77%	÷1.000	×1.270	—	—	39.08%
BB% (unintentional) /PA	5.13%	÷1.000	×0.710	—	×0.998	3.63%
HBP% /PA	0.00%	—	×0.790	—	×0.998	0.00%
Singles /BIP	12.50%	÷1.000	×0.920	—	×0.998	11.48%
Doubles /BIP	12.50%	÷1.000	×0.810	—	×0.998	10.10%
Triples /BIP	0.00%	÷1.000	×0.850	—	×0.998	0.00%
Home runs /BIP	4.17%	÷1.000	×0.800	—	×0.998	3.33%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average).

Result: wOBA .257 → .198; ISO .167 → .125; BABIP .250 → .213. 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 · 83 PAwOBA .271 → .203 (−68)K% 31.3% → 41.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.33%	÷1.033	×1.360	—	—	41.26%
BB% (unintentional) /PA	20.48%	÷0.981	×0.690	—	—	14.40%
HBP% /PA	1.20%	—	×0.780	—	—	0.94%
Singles /BIP	15.79%	÷0.948	×0.920	×0.963	—	14.75%
Doubles /BIP	5.26%	÷1.002	×0.830	×0.963	—	4.20%
Triples /BIP	0.00%	÷1.150	×0.910	×0.963	—	0.00%
Home runs /BIP	2.63%	÷1.214	×0.800	—	—	1.73%

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 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .271 → .203; ISO .078 → .053; BABIP .211 → .188. 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 · 125 PAwOBA .385 → .261 (−124)K% 28.0% → 40.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.00%	÷1.002	×1.440	—	—	40.23%
BB% (unintentional) /PA	16.80%	÷1.014	×0.620	—	×0.985	10.12%
HBP% /PA	0.00%	—	×0.720	—	×0.985	0.00%
Singles /BIP	27.94%	÷1.015	×0.820	×0.974	×0.985	21.67%
Doubles /BIP	2.94%	÷1.088	×0.720	×0.974	×0.985	1.87%
Triples /BIP	0.00%	÷0.900	×0.720	×0.974	×0.985	0.00%
Home runs /BIP	10.29%	÷0.947	×0.780	—	×0.985	8.35%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.974.

Result: wOBA .385 → .261; ISO .223 → .162; BABIP .339 → .252. 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 ROKACL Brewers · 99 PAwOBA .351 → .227 (−125)K% 31.3% → 46.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.31%	÷0.969	×1.440	—	—	46.55%
BB% (unintentional) /PA	18.18%	÷0.998	×0.620	—	×0.995	11.23%
HBP% /PA	0.00%	—	×0.720	—	×0.995	0.00%
Singles /BIP	22.92%	÷0.991	×0.820	×0.950	×0.995	17.93%
Doubles /BIP	16.67%	÷0.952	×0.720	×0.950	×0.995	11.92%
Triples /BIP	0.00%	÷0.923	×0.720	×0.950	×0.995	0.00%
Home runs /BIP	2.08%	÷0.898	×0.780	—	×0.995	1.80%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 98, 2B 90, 3B 85, K 94, BB 100 — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .351 → .227; ISO .139 → .092; BABIP .388 → .290. 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).

2022 DSLDSL Brewers 1 · 120 PAwOBA .362 → .227 (−135)K% 22.5% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.50%	÷0.962	×1.220	—	—	28.54%
BB% (unintentional) /PA	15.00%	÷0.986	×0.700	—	×0.995	10.60%
HBP% /PA	0.83%	—	×0.700	—	×0.995	0.58%
Singles /BIP	28.77%	÷0.998	×0.680	×0.950	×0.995	18.53%
Doubles /BIP	8.22%	÷0.989	×0.600	×0.950	×0.995	4.71%
Triples /BIP	0.00%	÷0.900	×0.600	×0.950	×0.995	0.00%
Home runs /BIP	2.74%	÷1.116	×0.470	—	×0.995	1.15%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 100, 2B 98, 3B 80, K 92, BB 97 — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .362 → .227; ISO .120 → .059; BABIP .375 → .232. 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).

2021 DSLDSL Brewers 1 · 103 PAwOBA .385 → .254 (−131)K% 19.4% → 24.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.42%	÷0.954	×1.220	—	—	24.84%
BB% (unintentional) /PA	13.59%	÷0.986	×0.700	—	×1.008	9.72%
HBP% /PA	4.85%	—	×0.700	—	×1.008	3.42%
Singles /BIP	21.88%	÷0.980	×0.680	×0.985	×1.008	15.06%
Doubles /BIP	15.62%	÷1.012	×0.600	×0.985	×1.008	9.19%
Triples /BIP	1.56%	÷1.036	×0.600	×0.985	×1.008	0.90%
Home runs /BIP	0.00%	÷0.948	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 96, 2B 102, 3B 107, K 91, BB 97 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.985.

Result: wOBA .385 → .254; ISO .143 → .084; BABIP .391 → .252. 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
#1Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#2Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#3Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
#4Mike Difelice'96-'08 * career totals — 7 seasons, 1,714 PA	2.6	1,714	28	3	226*	277*	345*	+30	+0	0.6	1.5
/162	664	11	1	+11.7	+0.0	0.2	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.2	808	17	0	212	280	333	+14	+12	1.2	1.2
/162	664	14	0	+11.9	+9.9	1.0	pk7: 1
#5Chad Moeller'00-'10 * career totals — 10 seasons, 1,539 PA	2.3	1,539	29	2	218*	277*	341*	+27	-0	-0.2	1.0
/162	664	13	1	+11.6	-0.1	-0.1	pk7: 2
#6Steve Swisher'74-'82 * career totals — 7 seasons, 1,577 PA	2.4	1,577	20	4	211*	275*	330*	+28	+0	-0.1	0.6
/162	664	8	2	+11.9	+0.0	-0.0	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
Edgardo Ordonez (OGILVIE)	23	—	—	—	—	202/272/309	107	286	1	0	31%	8%	66	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sean Coughlin 2008 · A	23	39→37	41→50	43→30	41	192/260/290	98	285	9	3	34%	7%	57	-1.8	212/282/340	128	259	14	2	23%	8%	76	-0.4	208/281/337	129	245	15	1	21%	8%	75	-0.3
✕Randy Florentino 2023 · A	23	37	41→45	47→45	41	184/247/274	90	275	9	6	35%	7%	48	-2.5	197/245/283	86	259	8	6	26%	6%	49	-2.4	182/223/254	73	228	7	4	23%	5%	32	-1.1
✕Michael Pérez 2016 · A	23	35	41→50	42→40	42	178/243/275	96	257	9	4	33%	7%	47	-2.6	210/262/308	98	279	8	3	26%	6%	61	-1.5	225/285/350	124	287	13	0	25%	7%	78	-0.1
✕Carlos Soto 2022 · A	23	40	45	45→30	48	200/279/322	122	273	12	3	30%	9%	72	-0.7	197/273/311	114	289	10	5	33%	9%	66	-1.1	146/235/244	98	221	7	0	35%	10%	37	-1.0
✕Anthony Seigler 2022 · A	23	41→40	42→45	44→55	45	198/274/307	110	297	9	6	34%	9%	66	-1.1	190/290/299	109	249	10	15	25%	12%	71	-0.8	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Darrien Miller 2024 · A	23	39→42	44→45	48→45	47	194/289/310	116	258	12	6	28%	9%	74	-0.6	192/313/294	102	262	8	5	27%	11%	80	-0.2	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Mark Fleury 2011 · A	23	39→40	45	48→45	42	200/261/328	128	269	12	4	30%	7%	65	-1.2	201/276/300	99	299	7	6	32%	9%	65	-1.2	186/276/265	79	285	4	6	33%	10%	56	-0.7
✕Daniel Vellojin 2024 · AA	24	39	43→45	45	49	192/277/302	110	267	11	6	30%	10%	66	-1.1	177/253/266	89	250	8	6	31%	8%	49	-2.4	150/230/223	73	210	7	4	31%	8%	29	-1.4
✕Matt Wallach 2009 · A	23	39	47→45	46→40	39	203/259/345	142	274	15	3	31%	6%	69	-0.9	210/268/321	111	260	11	3	23%	6%	66	-1.1	213/285/325	112	244	13	3	18%	7%	74	-0.2
✕Steven Lerud 2008 · A	23	37→42	42→45	43→40	37	185/249/288	103	277	9	4	35%	6%	53	-2.1	208/273/311	103	282	10	4	28%	6%	66	-1.1	199/289/281	82	285	7	2	29%	9%	64	-0.4
✕Kevin Padlo 2019 · A	23	36→42	44→55	45→50	44	183/264/301	119	275	11	7	36%	9%	61	-1.5	207/286/371	164	296	18	9	34%	9%	86	+0.3	196/269/361	165	267	20	12	33%	8%	75	-0.3
✕Joe DeCarlo 2017 · A	23	38	45→50	47→30	44	191/278/314	124	278	13	2	34%	9%	70	-0.8	195/271/326	131	277	15	3	33%	8%	70	-0.9	176/253/298	122	249	15	0	34%	7%	54	-0.9
✕Rubel Cespedes 2024 · A	23	41→46	43→45	46→40	40	204/255/314	109	279	11	4	30%	6%	59	-1.6	214/262/322	108	278	11	4	26%	6%	64	-1.3	213/263/317	104	269	10	3	24%	6%	60	-1.2
✕Blake Hunt 2022 · AA	23	36	43→50	49→40	39	181/242/290	109	276	11	4	37%	7%	50	-2.3	203/259/322	119	277	12	4	30%	6%	63	-1.3	215/280/358	143	272	16	1	27%	7%	77	-0.1
✕Jose Brizuela 2016 · A	23	41→39	44→50	50→45	45	206/271/326	120	274	11	7	28%	8%	69	-0.9	208/265/331	123	293	14	5	32%	7%	68	-1.0	187/241/315	128	257	17	1	34%	6%	53	-0.9
✕Nathan Perry 2022 · A	23	39	43→45	46→30	42	195/264/305	111	265	10	5	29%	7%	62	-1.4	207/266/319	112	267	12	6	26%	6%	65	-1.2	188/244/286	99	224	14	2	23%	6%	48	-0.7
✕Matthew Sweeney 2011 · AA	23	42	44→55	48→45	41	209/269/327	118	295	11	4	32%	7%	68	-1.0	188/250/297	109	270	10	4	32%	7%	55	-2.0	155/222/262	107	217	10	1	32%	7%	33	-1.3
✕Hunter Fitz-Gerald 2024 · A	23	44→43	40→50	49→50	41	210/269/305	94	313	7	6	33%	7%	63	-1.4	223/276/347	124	333	11	8	34%	6%	75	-0.5	224/276/371	147	327	16	9	35%	6%	78	-0.2
✕Andrew Susac 2013 · A	23	42→39	43→50	45→30	45	206/281/318	112	290	11	4	31%	9%	71	-0.8	222/298/364	142	296	16	3	29%	9%	88	+0.4	223/303/379	156	290	18	1	28%	9%	91	+0.3
✕Jake Lowery 2013 · A	23	39	43→45	45→30	40	189/253/300	112	302	10	4	39%	8%	56	-1.9	197/264/314	117	293	10	3	34%	8%	63	-1.3	182/254/299	117	260	10	1	32%	8%	54	-0.9

Edgardo Ordonez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps