Jeffrey Mercedes

SS Lake County Captains

Age 22 S/R 5'8" / 185 lbs A+ Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#1632ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ROKCLE	143	.282/.369/.411	2	1	57	—	.215/.277/.315
2025	20	A+/A2 orgs	356	.231/.311/.343	5	7	43	—	.187/.252/.279
2026	21	A+CLE	357	.244/.303/.405	11	2	57	—	.206/.253/.334
2027PROJMLE	22	MLBCLE	1	.214/.266/.326	0	0	66	-0.0
2028PROJ35% MLB	23	MLBCLE	100	.219/.272/.338	2	1	71	-0.0
2029PROJ46% MLB	24	MLBCLE	167	.222/.276/.346	4	2	74	0.0

Next 3 projected WAR 0.0Projected 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$0.6M+2

Skills · percentileMiLB Statcast 2026 A+

Whiff%78

K%72

Z-Con%69

ISO54

wOBA32

wRC+28

Career WAR0.0 WAR median (P10 -0.1 / P90 3.3, comp-based) · star 1% · didn't stick 86%

CompsRoger Tomas (age 22) · Jose Herrera (age 22) · Chace Numata (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†66

AVG/OBP/SLG.214 / .266 / .326

PA1

HR0

K%23

BB%6

BABIP263

ISO119

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$4M ctrl surplus

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE40

scouting grade only

SPEED45

scouting grade only

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	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2033	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2034	Arb-1	$0.6M	—	—	—
2035	Arb-2	$5M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$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)
2022	17	ROK	DSL CLE Blue	—	137	119	30	9	3	2	11	20	5	1	3	252	341	429	769	176	283	15	8	339	36	—	—	—	—	—	—
2023	18	ROK	ACL Guardians	—	136	124	37	7	1	3	8	31	2	1	0	298	351	444	794	145	370	23	6	349	43	—	—	—	—	—	—
2024	19	ROK	ACL Guardians	—	143	124	35	8	1	2	16	23	1	1	2	282	369	411	780	129	327	16	11	347	57	—	—	—	—	—	—
2025	20	A+	Lake County Captains	—	47	44	8	0	1	2	3	6	0	0	0	182	234	364	598	182	167	13	6	264	29	—	—	—	—	—	—
2025	20	A	Lynchburg Hillcats	—	309	268	64	14	2	3	30	60	4	7	2	239	323	340	663	101	289	19	10	298	45	—	—	—	—	—	—
2026	21	A+	Lake County Captains	—	357	328	80	20	0	11	24	71	4	2	1	244	303	405	709	162	279	20	7	315	57	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL CLE Blue	—	137	122	20	6	2	1	8	25	5	1	3	164	244	270	515	107	188	18	6	221	36	—	—	—	—	—	—
2023	18	ROK MLE	ACL Guardians	—	136	127	27	5	1	2	5	44	2	1	0	213	254	315	569	102	282	32	4	232	43	—	—	—	—	—	—
2024	19	ROK MLE	ACL Guardians	—	143	130	28	5	1	2	10	33	1	1	2	215	277	315	592	100	258	23	7	252	57	—	—	—	—	—	—
2025	20	A+ MLE	Lake County Captains	—	47	45	7	0	1	2	2	7	0	0	0	156	191	333	525	178	147	15	4	211	29	—	—	—	—	—	—
2025	20	A MLE	Lynchburg Hillcats	—	309	277	53	12	2	2	22	83	4	7	2	191	261	271	531	79	246	27	7	235	45	—	—	—	—	—	—
2026	21	A+ MLE	Lake County Captains	—	357	335	69	16	0	9	17	90	4	2	1	206	253	334	587	128	250	25	5	252	57	—	—	—	—	—	—
2022	17	ROK MLE	DSL CLE Blue	—	137	122	20	6	2	1	8	25	5	1	3	164	244	270	515	107	194	18	6	221	36	—	—	—	—	—	—
2022	17	ROK RAW	DSL CLE Blue	—	137	119	30	9	3	2	11	20	5	1	3	252	341	429	769	176	283	15	8	339	36	—	—	—	—	—	—
2023	18	ROK MLE	ACL Guardians	—	136	127	27	5	1	2	5	44	2	1	0	213	254	315	569	102	301	32	4	232	43	—	—	—	—	—	—
2023	18	ROK RAW	ACL Guardians	—	136	124	37	7	1	3	8	31	2	1	0	298	351	444	794	145	370	23	6	349	43	—	—	—	—	—	—
2024	19	ROK MLE	ACL Guardians	—	143	130	28	5	1	2	10	33	1	1	2	215	277	315	592	100	268	23	7	252	57	—	—	—	—	—	—
2024	19	ROK RAW	ACL Guardians	—	143	124	35	8	1	2	16	23	1	1	2	282	369	411	780	129	327	16	11	347	57	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	356	322	60	12	3	4	24	90	4	7	2	186	251	280	531	93	239	25	7	232	43	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	356	312	72	14	3	5	33	66	4	7	2	231	311	343	654	112	271	19	9	293	43	—	—	—	—	—	—
2026	21	A+ MLE	Lake County Captains	—	357	335	69	16	0	9	17	90	4	2	1	206	253	334	587	128	253	25	5	252	57	—	—	—	—	—	—
2026	21	A+ RAW	Lake County Captains	—	357	328	80	20	0	11	24	71	4	2	1	244	303	405	709	162	279	20	7	315	57	—	—	—	—	—	—
2022	17	ROK MLE	DSL CLE Blue	—	137	123	20	6	2	1	8	25	5	1	3	163	244	268	513	106	188	18	6	221	36	—	—	—	—	—	—
2023	18	ROK MLE	ACL Guardians	—	136	128	27	5	1	2	5	44	2	1	0	211	254	312	566	102	282	32	4	232	43	—	—	—	—	—	—
2024	19	ROK MLE	ACL Guardians	—	143	131	28	5	1	2	10	33	1	1	2	214	277	313	590	99	258	23	7	252	57	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	356	325	60	12	3	4	24	90	4	7	2	185	251	277	528	92	233	25	7	232	43	—	—	—	—	—	—
2026	21	A+ MLE	Lake County Captains	—	357	333	69	16	0	9	17	90	4	2	1	207	253	336	589	129	250	25	5	252	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	ROK MLE	ACL Guardians	—	143	131	28	5	1	2	10	33	1	1	2	214	277	313	590	99	258	23	7	252	57	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	356	325	60	12	3	4	24	90	4	7	2	185	251	277	528	92	233	25	7	232	43	—	—	—	—	—	—
2026	21	A+ MLE	Lake County Captains	—	357	333	69	16	0	9	17	90	4	2	1	207	253	336	589	129	250	25	5	252	57	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	CLE	0%	467	434	92	20	2	8	26	108	4	5	2	214	265	326	592	113	263	23	6	265	66	-19	+0	+0	+5	+10	0.0
▸ 2027 — real world (MLB)
2027	22	MLB CTX	CLE	0%	1	1	0	0	0	0	0	0	0	0	0	214	266	326	592	112	263	0	0	265	66	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	CLE	35%	289	267	59	13	1	6	17	65	3	4	1	218	271	339	610	120	265	22	6	273	71	-10	+0	+0	+3	+6	-0.0
2029	24	MLB MLE	CLE	46%	362	334	74	16	1	8	22	81	3	5	1	221	276	347	623	125	267	22	6	278	74	-11	+1	+0	+4	+8	0.1
2030	25	MLB MLE	CLE	52%	402	370	82	17	2	9	25	90	4	5	2	223	279	352	631	129	268	22	6	282	77	-11	+0	+0	+4	+9	0.2
2031	26	MLB MLE	CLE	54%	425	391	88	18	2	10	27	95	4	6	2	224	281	354	636	130	269	22	6	284	78	-11	+0	+0	+5	+9	0.3
2032	27	MLB MLE	CLE	54%	434	399	90	19	2	10	28	98	4	6	2	224	282	355	637	130	270	23	6	284	79	-11	+0	+0	+5	+9	0.3
2033	28	MLB MLE	CLE	54%	432	397	89	19	2	10	28	98	4	5	2	222	280	350	631	128	269	23	6	282	77	-12	+0	-1	+5	+9	0.2
2034	29	MLB MLE	CLE	53%	423	389	85	18	1	9	27	97	4	4	2	220	278	344	622	124	268	23	6	278	75	-13	+0	-1	+5	+9	-0.1
2035	30	MLB MLE	CLE	52%	413	381	81	17	1	8	26	96	3	3	2	217	274	337	612	120	266	23	6	274	72	-14	-0	-2	+4	+9	-0.3
2028	23	MLB CTX	CLE	35%	100	93	19	4	0	2	6	23	1	1	0	219	272	338	610	120	265	23	6	273	71	-3	+0	+0	+1	+2	-0.0
2029	24	MLB CTX	CLE	46%	167	153	35	7	1	4	10	37	2	2	1	222	276	346	623	125	267	22	6	278	74	-5	+0	+0	+2	+4	0.0
2030	25	MLB CTX	CLE	52%	208	191	43	9	1	5	13	47	2	3	1	223	280	351	631	128	269	23	6	282	77	-6	+0	+0	+2	+5	0.1
2031	26	MLB CTX	CLE	54%	231	212	47	10	1	5	15	52	2	3	1	224	282	354	636	130	270	23	6	284	78	-6	+0	+0	+2	+5	0.2
2032	27	MLB CTX	CLE	54%	235	216	48	10	1	5	15	53	2	3	1	225	283	354	637	130	270	23	6	285	79	-6	+0	+0	+3	+5	0.2
2033	28	MLB CTX	CLE	54%	234	215	48	10	1	5	15	53	2	3	1	223	281	350	631	127	270	23	6	282	77	-6	+0	-0	+3	+5	0.1
2034	29	MLB CTX	CLE	53%	225	206	46	10	1	5	15	52	2	2	1	221	278	344	622	124	268	23	7	279	75	-7	+0	-1	+2	+5	-0.0
2035	30	MLB CTX	CLE	52%	216	198	43	9	1	4	14	50	2	2	1	218	275	337	612	119	267	23	6	274	72	-7	+0	-1	+2	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1616	1484	329	69	7	35	103	367	15	19	7	222	279	348	627	127	270	23	6	280	68	-47	+1	-2	+17	+35	0.4
/ 162G	—	A+C		—	650	597	133	28	3	14	41	148	6	8	3	223	280	350	630	127	272	23	6	280	68	-19	+0	-1	+7	+14	0.2
Career	—	MLE		—	4519	4158	894	190	20	92	276	1050	47	52	23	215	272	337	608	122	263	23	6	269	68	-101	+2	-4	+36	+73	0.6
/ 162G	—	MLE		—	650	598	128	27	3	13	40	151	7	7	3	214	271	334	606	120	263	23	6	269	68	-19	+0	-1	+7	+14	0.1

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+Lake County Captains · 357 PAwOBA .308 → .252 (−56)K% 19.9% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.89%	÷1.000	×1.270	—	—	25.26%
BB% (unintentional) /PA	6.72%	÷1.000	×0.710	—	×1.012	4.83%
HBP% /PA	1.12%	—	×0.790	—	×1.012	0.90%
Singles /BIP	19.07%	÷1.000	×0.920	×1.006	×1.012	17.86%
Doubles /BIP	7.78%	÷1.000	×0.810	×1.006	×1.012	6.42%
Triples /BIP	0.00%	÷1.000	×0.850	×1.006	×1.012	0.00%
Home runs /BIP	4.28%	÷1.000	×0.800	—	×1.012	3.47%

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 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .308 → .252; ISO .162 → .126; BABIP .279 → .250. 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 ALynchburg Hillcats · 309 PAwOBA .296 → .235 (−61)K% 19.4% → 26.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.42%	÷0.989	×1.360	—	—	26.69%
BB% (unintentional) /PA	9.71%	÷0.975	×0.690	—	×1.015	6.98%
HBP% /PA	1.29%	—	×0.780	—	×1.015	1.02%
Singles /BIP	21.63%	÷1.071	×0.920	×0.969	×1.015	18.28%
Doubles /BIP	6.73%	÷0.921	×0.830	×0.969	×1.015	5.96%
Triples /BIP	0.96%	÷1.020	×0.910	×0.969	×1.015	0.84%
Home runs /BIP	1.44%	÷1.184	×0.800	—	×1.015	0.99%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 137, 1B 114, 2B 84, 3B 104, K 98, BB 95 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .296 → .235; ISO .101 → .080; BABIP .289 → .246. 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 A+Lake County Captains · 47 PAwOBA .256 → .211 (−45)K% 12.8% → 15.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.77%	÷1.020	×1.270	—	—	15.90%
BB% (unintentional) /PA	6.38%	÷0.991	×0.710	—	×1.027	4.69%
HBP% /PA	0.00%	—	×0.790	—	×1.027	0.00%
Singles /BIP	13.16%	÷1.031	×0.920	×0.969	×1.027	11.69%
Doubles /BIP	0.00%	÷1.138	×0.810	×0.969	×1.027	0.00%
Triples /BIP	2.63%	÷0.952	×0.850	×0.969	×1.027	2.34%
Home runs /BIP	5.26%	÷1.011	×0.800	—	×1.027	4.28%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 102, 1B 106, 2B 128, 3B 90, K 104, BB 98 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.

Result: wOBA .256 → .211; ISO .182 → .149; BABIP .167 → .147. 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 Guardians · 143 PAwOBA .343 → .252 (−92)K% 16.1% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.08%	÷0.988	×1.440	—	—	23.44%
BB% (unintentional) /PA	11.19%	÷0.998	×0.620	—	×0.995	6.92%
HBP% /PA	0.70%	—	×0.720	—	×0.995	0.50%
Singles /BIP	23.76%	÷0.982	×0.820	×1.003	×0.995	19.80%
Doubles /BIP	7.92%	÷1.054	×0.720	×1.003	×0.995	5.40%
Triples /BIP	0.99%	÷0.935	×0.720	×1.003	×0.995	0.76%
Home runs /BIP	1.98%	÷0.984	×0.780	—	×0.995	1.56%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 96, 2B 111, 3B 87, K 98, 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 ×1.003.

Result: wOBA .343 → .252; ISO .129 → .093; BABIP .327 → .258. 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 Guardians · 136 PAwOBA .344 → .232 (−113)K% 22.8% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.79%	÷1.005	×1.440	—	—	32.67%
BB% (unintentional) /PA	5.88%	÷1.030	×0.620	—	×1.008	3.57%
HBP% /PA	1.47%	—	×0.720	—	×1.008	1.07%
Singles /BIP	27.96%	÷1.024	×0.820	×0.975	×1.008	22.00%
Doubles /BIP	7.53%	÷0.967	×0.720	×0.975	×1.008	5.51%
Triples /BIP	1.08%	÷0.925	×0.720	×0.975	×1.008	0.82%
Home runs /BIP	3.23%	÷1.349	×0.780	—	×1.008	1.88%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 170, 1B 105, 2B 93, 3B 85, K 101, BB 106 — 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 ×0.975.

Result: wOBA .344 → .232; ISO .145 → .088; BABIP .370 → .282. 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 CLE Blue · 137 PAwOBA .335 → .221 (−114)K% 14.6% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.60%	÷0.971	×1.220	—	—	18.34%
BB% (unintentional) /PA	8.03%	÷1.016	×0.700	—	×1.008	5.57%
HBP% /PA	3.65%	—	×0.700	—	×1.008	2.57%
Singles /BIP	16.16%	÷0.987	×0.680	×0.993	×1.008	11.14%
Doubles /BIP	9.09%	÷0.921	×0.600	×0.993	×1.008	5.92%
Triples /BIP	3.03%	÷0.959	×0.600	×0.993	×1.008	1.90%
Home runs /BIP	2.02%	÷1.128	×0.470	—	×1.008	0.85%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 126, 1B 97, 2B 84, 3B 92, K 94, BB 103 — 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 ×0.993.

Result: wOBA .335 → .221; ISO .176 → .104; BABIP .283 → .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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Mike Tyson'72-'81 * career totals — 9 seasons, 3,200 PA	4.8	3,200	27	23	236*	281*	354*	+20	+24	1.9	3.3
/162	664	6	5	+4.1	+4.9	0.4	pk7: 5
#4Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	2.4	1,618	35	19	223	276	349	+17	+12	1.6	1.6
/162	664	15	8	+7.1	+4.9	0.7	pk7: 2
#6Andres Thomas'85-'90 * career totals — 5 seasons, 2,185 PA	3.3	2,185	42	22	234*	256*	361*	+23	+24	0.5	0.5
/162	664	13	7	+7.1	+7.3	0.2	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
Jeffrey Mercedes (OGILVIE)	22	40	30	45	40	212/263/324	112	263	4	2	23%	6%	66	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Roger Tomas 2008 · A	22	42	40→30	50→45	43	204/252/295	91	259	7	5	24%	6%	54	-2.0	221/263/281	60	281	3	6	21%	5%	54	-2.0	231/268/265	34	288	1	6	20%	4%	51	-0.6
✕Jose Herrera 2019 · A	22	42	38→40	45→40	43	201/244/281	81	250	5	3	22%	5%	47	-2.5	210/288/309	99	283	8	5	26%	10%	72	-0.7	214/297/304	90	284	9	3	26%	10%	72	-0.4
✕Chace Numata 2015 · A	22	45	39→40	48→40	45	215/265/294	80	257	6	6	19%	6%	59	-1.7	240/290/315	75	288	4	4	17%	6%	72	-0.7	248/299/320	71	292	3	2	15%	6%	74	-0.3
✕Jacob Berry 2023 · A	22	43→44	42→45	46→55	43	212/283/312	100	277	9	6	26%	6%	71	-0.8	206/257/315	109	263	9	12	25%	5%	61	-1.5	213/278/320	107	261	10	21	22%	7%	69	-0.8
✕Sean Rooney 2008 · A	22	42	39→40	47→30	43	203/248/288	85	251	7	6	22%	5%	51	-2.3	238/276/325	87	302	5	3	22%	5%	69	-0.9	237/275/328	90	301	6	2	22%	5%	66	-0.6
✕Greg Picart 2008 · A	22	43	42→40	43→50	40	212/252/322	111	255	9	5	21%	4%	60	-1.6	218/263/294	76	262	4	8	18%	5%	57	-1.8	230/282/278	48	272	2	11	15%	6%	58	-0.8
✕Luis De La Cruz 2011 · A	22	40	40→30	47→30	38	195/231/295	100	253	6	6	26%	4%	45	-2.7	235/266/315	80	286	4	6	19%	4%	63	-1.4	266/288/334	68	312	3	4	16%	3%	71	-0.3
✕Andrick Nava 2024 · A	22	41	40	44→30	47	200/263/289	89	256	8	4	25%	8%	57	-1.8	209/272/298	89	269	8	5	24%	8%	63	-1.4	209/271/295	86	263	8	3	23%	7%	59	-0.4
✕Jeremy Arocho 2021 · A	22	48→44	36→30	48→60	47	224/284/295	71	288	3	10	22%	7%	65	-1.2	228/321/282	54	318	2	26	25%	12%	78	-0.3	221/328/267	46	302	1	34	24%	13%	75	-0.3
✕Elio Sarmiento 2008 · A	22	44	40→45	46→45	41	214/265/300	86	272	8	5	24%	5%	60	-1.6	218/271/300	82	281	5	5	23%	5%	62	-1.4	231/282/333	102	295	6	5	22%	5%	70	-0.3
✕Trevor Coleman 2011 · A	23	39	41→40	42→40	40	194/248/286	93	255	9	5	27%	5%	51	-2.2	209/285/309	100	269	9	6	24%	9%	70	-0.8	205/292/296	91	259	9	3	23%	11%	68	-0.6
✕Imeldo Diaz 2019 · A	21	44	41→40	46→45	41	215/264/307	91	269	9	5	23%	5%	61	-1.5	231/265/311	80	306	5	5	25%	4%	61	-1.5	238/261/300	62	316	3	2	25%	2%	55	-0.6
✕Jhoan Urena 2017 · A	22	41→48	42→45	46→45	44	202/255/302	100	259	9	3	26%	7%	57	-1.8	217/274/334	117	308	11	7	31%	7%	72	-0.7	214/272/331	117	309	11	6	33%	7%	67	-1.0
✕Mack Chambers 2022 · A	22	42	37→40	45→50	44	199/258/274	76	267	4	7	26%	7%	51	-2.2	213/275/311	98	279	8	11	25%	7%	66	-1.1	206/273/300	95	263	9	13	24%	8%	61	-0.8
✕Louis Ott 2008 · A	23	47→48	39→30	45	45	225/288/305	81	300	6	8	26%	7%	70	-0.8	228/300/296	68	326	4	7	28%	9%	72	-0.7	227/305/281	54	329	3	6	29%	10%	68	-0.5
✕Jonathan Jaspe 2007 · A	22	44	43→45	43→40	41	220/257/337	117	270	10	3	23%	5%	65	-1.2	230/279/332	102	278	9	2	20%	6%	72	-0.7	234/284/334	99	278	10	1	19%	6%	73	-0.3
✕Luis Alvarez 2012 · A	22	45	39→40	42→45	44	215/273/300	85	266	6	5	21%	6%	63	-1.3	220/272/344	124	281	13	5	26%	5%	74	-0.6	209/252/367	157	250	21	0	26%	3%	69	-0.2
✕Griff Erickson 2010 · A	22	44→50	41→45	44→40	45	213/269/315	102	273	8	3	25%	7%	65	-1.2	220/285/327	107	272	8	4	21%	8%	74	-0.5	217/292/346	129	266	13	2	23%	9%	79	-0.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/293/300	81	280	8	4	23%	7%	72	-0.7	211/298/265	54	265	5	1	21%	8%	64	-0.3
✕Glenn Santiago 2023 · A	22	42	41→40	46→45	40	203/258/299	95	286	8	8	31%	6%	57	-1.8	200/263/285	85	289	7	9	31%	7%	56	-1.9	185/254/258	73	266	7	8	31%	7%	46	-1.1

Jeffrey Mercedes

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps