Aidan Miller

SS Surprise Saguaros

Age 23 R/R 6'1" / 205 lbs INTL HR +14% Svc 0.0 · Ctrl thru 2036

Overview

INTLPROSPECTMiLBFA 2037

OGV OFP45OGV rank#55ETA2028MLB%10%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	AA/A+/APHI	462	.261/.367/.446	11	23	80	—	.209/.291/.354
2025	21	AAA/AAPHI	526	.264/.393/.433	14	59	101	—	.236/.340/.369
2026	22	INTLSurprise Sagu…	49	.300/.571/.467	0	3	208	—
2027PROJ10% MLB	23	MLBPHI	21	.230/.324/.372	0	1	97	0.1
2028PROJ53% MLB	24	MLBPHI	247	.237/.330/.397	7	14	104	1.1
2029PROJ70% MLB	25	MLBPHI	361	.241/.333/.413	12	20	109	1.8

Next 3 projected WAR 3.0Projected 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$5M+2

Skills · percentileMiLB Statcast 2025 AA

Chase%92

BB%89

Speed88

wOBA87

wRC+87

ISO81

CompsCJ Abrams (age 23) · Anthony Volpe (age 23) · Desmond Jennings (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†97

AVG/OBP/SLG.230 / .324 / .372

PA21

HR0

K%24

BB%10

BABIP297

ISO53

MLB%10%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$96M ctrl surplus

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	+2.2	$13M	+$12M
2032	Pre-Arb	$0.9M	+2.1	$12M	+$11M
2033	Pre-Arb	$0.9M	+1.8	$9M	+$9M
2034	Arb-1	$5M	+1.5	$7M	+$5M
2035	Arb-2	$7M	+1.2	$5M	+$2M
2036	Arb-3	$7M	+0.7	$1M	+$0.0M (cut)
Totals		$14M		$47M	+$39M

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	19	A	Clearwater Threshers	—	44	37	8	1	1	0	6	10	1	4	1	216	341	297	638	81	296	23	14	301	55	—	—	—	—	—	—
2023	19	ROK	FCL Phillies	—	36	29	12	2	0	0	6	5	1	0	0	414	528	483	1.011	69	500	14	17	459	112	—	—	—	—	—	—
2024	20	AA	Reading Fightin Phils	—	22	21	4	0	0	0	0	4	1	1	0	190	227	190	418		235	18	0	198	11	—	—	—	—	—	—
2024	20	A+	Jersey Shore BlueClaws	—	258	225	58	12	6	6	30	57	3	12	4	258	353	444	797	187	321	22	12	355	74	—	—	—	—	—	—
2024	20	A	Clearwater Threshers	—	182	149	41	16	0	5	26	39	6	10	1	275	403	483	887	208	340	21	14	393	96	—	—	—	—	—	—
2025	21	AAA	Lehigh Valley IronPigs	—	37	27	9	2	0	1	9	7	1	7	1	333	514	519	1.032	185	421	19	24	462	151	—	—	—	—	—	—
2025	21	AA	Reading Fightin Phils	—	489	405	105	25	2	13	73	116	9	52	14	259	384	427	811	168	331	24	15	366	97	—	—	—	—	—	—
2026	22	INTL	Surprise Saguaros	—	49	30	9	3	1	0	18	10	1	3	1	300	571	467	1.038	167	450	20	37	475	208	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	A MLE	Clearwater Threshers	—	44	39	8	1	1	0	4	13	1	4	1	205	295	282	578	77	287	30	9	249	55	—	—	—	—	—	—
2023	19	ROK MLE	FCL Phillies	—	36	31	9	1	0	0	4	7	1	0	0	290	389	323	711	32	394	19	11	334	112	—	—	—	—	—	—
2024	20	AA MLE	Reading Fightin Phils	—	22	21	4	0	0	0	0	5	1	1	0	190	227	190	418		240	23	0	184	11	—	—	—	—	—	—
2024	20	A+ MLE	Jersey Shore BlueClaws	—	258	236	48	9	5	6	19	73	3	12	4	203	271	360	631	157	274	28	7	278	74	—	—	—	—	—	—
2024	20	A MLE	Clearwater Threshers	—	182	156	34	14	0	3	19	54	6	10	1	218	326	365	691	147	307	30	10	310	96	—	—	—	—	—	—
2025	21	AAA MLE	Lehigh Valley IronPigs	—	37	30	9	2	0	1	6	8	1	7	1	300	432	467	899	167	398	22	16	392	151	—	—	—	—	—	—
2025	21	AA MLE	Reading Fightin Phils	—	489	423	98	21	2	10	55	139	9	52	14	232	333	362	694	130	318	28	11	311	97	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	80	70	17	2	1	0	8	21	2	4	1	243	338	300	637	57	347	26	10	287	81	—	—	—	—	—	—
2023	19	A RAW	2 teams	—	80	66	20	3	1	0	12	15	2	4	1	303	425	379	804	76	392	19	15	372	81	—	—	—	—	—	—
2024	20	A+ MLE	3 teams	—	462	413	87	23	5	9	38	132	10	23	5	211	293	356	649	145	286	29	8	286	80	—	—	—	—	—	—
2024	20	A+ RAW	3 teams	—	462	395	103	28	6	11	56	100	10	23	5	261	367	446	812	185	323	22	12	362	80	—	—	—	—	—	—
2025	21	AA MLE	2 teams	—	526	453	108	23	2	11	61	148	10	59	15	238	342	371	712	132	328	28	12	317	100	—	—	—	—	—	—
2025	21	AA RAW	2 teams	—	526	432	114	27	2	14	82	123	10	59	15	264	393	433	826	169	337	23	16	372	100	—	—	—	—	—	—
2026	22	INTL MLE	Surprise Saguaros	—	49	30	9	3	1	0	18	10	1	3	1	300	571	467	1.038	167	450	20	37	—	—	—	—	—	—	—	—
2026	22	INTL RAW	Surprise Saguaros	—	49	30	9	3	1	0	18	10	1	3	1	300	571	467	1.038	167	450	20	37	475	208	—	—	—	—	—	—
2023	19	A MLE	2 teams	—	80	70	17	2	1	0	8	21	2	4	1	243	338	300	637	57	335	26	10	287	81	—	—	—	—	—	—
2024	20	A+ MLE	3 teams	—	462	411	87	23	5	9	38	132	10	23	5	212	293	358	651	146	285	29	8	286	80	—	—	—	—	—	—
2025	21	AA MLE	2 teams	—	526	450	108	23	2	11	61	148	10	59	15	240	342	373	715	133	324	28	12	317	100	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A+ MLE	3 teams	—	462	411	87	23	5	9	38	132	10	23	5	212	293	358	651	146	285	29	8	286	80	—	—	—	—	—	—
2025	21	AA MLE	2 teams	—	526	450	108	23	2	11	61	148	10	59	15	240	342	373	715	133	324	28	12	317	100	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	PHI	10%	624	544	125	27	4	14	65	162	10	35	9	229	323	367	689	138	297	26	10	311	97	-2	+3	-0	+7	+14	0.9
▸ 2027 — real world (MLB)
2027	23	MLB CTX	PHI	10%	21	19	4	1	0	0	2	5	0	1	0	230	324	372	696	142	297	24	10	314	97	-0	+0	-0	+0	+0	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	PHI	53%	469	410	96	21	3	12	49	120	7	26	7	235	328	390	718	155	298	26	10	322	104	+2	+2	+0	+5	+10	2.0
2029	25	MLB MLE	PHI	70%	515	448	107	23	3	15	54	130	8	29	7	239	331	405	736	166	299	25	10	329	109	+5	+3	+1	+6	+11	2.6
2030	26	MLB MLE	PHI	77%	541	472	114	24	3	17	56	136	8	30	8	241	332	414	746	173	299	25	10	332	111	+7	+3	+1	+6	+12	2.9
2031	27	MLB MLE	PHI	78%	553	483	117	24	3	18	57	139	8	30	8	240	331	411	742	171	298	25	10	330	110	+6	+3	+1	+6	+12	2.9
2032	28	MLB MLE	PHI	79%	555	485	116	24	3	17	57	140	8	27	7	239	328	406	735	167	297	25	10	328	108	+5	+3	+0	+6	+12	2.6
2033	29	MLB MLE	PHI	77%	547	478	114	23	3	17	56	140	8	24	6	237	326	400	726	164	296	26	10	324	106	+4	+2	-1	+6	+12	2.4
2034	30	MLB MLE	PHI	76%	537	471	111	23	3	16	54	139	7	19	5	234	322	393	715	159	294	26	10	320	103	+2	+2	-1	+6	+12	2.0
2035	31	MLB MLE	PHI	76%	522	458	106	22	2	15	52	137	7	14	4	230	318	383	701	153	291	26	10	314	99	-1	+1	-2	+6	+11	1.6
2036	32	MLB MLE	PHI	75%	500	441	98	20	2	13	49	133	6	8	3	225	312	371	682	146	288	27	10	307	94	-4	+0	-3	+5	+11	1.0
2037	33	MLB MLE	PHI	75%	466	412	90	18	2	12	45	127	6	4	2	218	304	355	660	137	283	27	10	298	88	-7	+0	-4	+5	+10	0.5
2038	34	MLB MLE	PHI	71%	409	362	77	15	2	9	39	114	5	0	2	210	295	337	632	127	276	28	10	286	80	-10	-1	-4	+4	+9	-0.2
2028	24	MLB CTX	PHI	53%	247	215	51	11	1	7	26	63	4	14	3	237	330	397	727	160	299	26	11	325	104	+1	+2	+0	+3	+5	1.1
2029	25	MLB CTX	PHI	70%	361	314	76	15	2	12	38	91	6	20	5	241	333	413	746	172	299	25	11	332	109	+4	+2	+1	+4	+8	1.8
2030	26	MLB CTX	PHI	77%	417	365	88	18	2	14	43	105	6	23	6	243	334	423	757	179	299	25	10	336	111	+5	+2	+1	+4	+9	2.2
2031	27	MLB CTX	PHI	78%	432	378	91	18	2	15	45	109	6	23	6	242	333	420	752	177	298	25	10	334	110	+5	+2	+1	+5	+9	2.2
2032	28	MLB CTX	PHI	79%	436	382	92	18	2	15	45	110	6	22	6	241	330	415	745	174	297	25	10	332	108	+4	+2	+0	+5	+9	2.1
2033	29	MLB CTX	PHI	77%	421	369	89	18	2	14	43	107	6	18	5	239	328	409	736	170	296	25	10	328	106	+3	+2	-0	+5	+9	1.8
2034	30	MLB CTX	PHI	76%	408	358	85	17	2	13	41	105	6	15	4	236	324	401	725	165	295	26	10	324	103	+1	+1	-1	+4	+9	1.5
2035	31	MLB CTX	PHI	76%	394	347	81	16	2	12	39	103	5	10	3	232	319	391	710	159	292	26	10	318	99	-1	+1	-2	+4	+9	1.2
2036	32	MLB CTX	PHI	75%	376	331	76	15	2	11	37	100	5	6	3	226	313	378	691	151	288	27	10	310	94	-3	+0	-2	+4	+8	0.7
2037	33	MLB CTX	PHI	75%	350	309	67	13	1	9	34	95	4	3	2	220	306	362	668	142	283	27	10	301	88	-5	-0	-3	+4	+8	0.3
2038	34	MLB CTX	PHI	71%	289	256	54	10	1	7	28	81	3	0	1	212	296	343	639	131	276	28	10	289	80	-7	-0	-3	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4131	3624	850	169	19	129	419	1069	57	154	44	235	323	398	722	164	295	26	10	322	98	+8	+13	-9	+44	+90	14.9
/ 162G	—	A+C		—	650	570	134	27	3	20	66	168	9	24	7	235	324	398	722	163	296	26	10	322	98	+1	+2	-1	+7	+14	2.3
Career	—	MLE		—	6941	6069	1409	297	39	186	715	1821	104	312	84	232	323	386	709	154	299	26	10	313	98	+9	+20	-12	+62	+126	21.0
/ 162G	—	MLE		—	650	568	132	28	4	17	67	171	10	29	8	232	324	386	710	153	300	26	10	313	98	+1	+2	-1	+7	+14	2.3

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.

2025 AAReading Fightin Phils · 489 PAwOBA .358 → .311 (−47)K% 23.7% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.72%	÷1.016	×1.220	—	—	28.48%
BB% (unintentional) /PA	14.93%	÷0.982	×0.700	—	×1.050	11.18%
HBP% /PA	1.84%	—	×0.850	—	×1.050	1.64%
Singles /BIP	22.49%	÷0.968	×0.970	×0.962	×1.050	22.76%
Doubles /BIP	8.65%	÷1.004	×0.860	×0.962	×1.050	7.48%
Triples /BIP	0.69%	÷0.959	×0.950	×0.962	×1.050	0.69%
Home runs /BIP	4.50%	÷1.036	×0.780	—	×1.050	3.55%

Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 94, 2B 101, 3B 92, K 103, BB 96 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.

Result: wOBA .358 → .311; ISO .168 → .138; BABIP .331 → .318. 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 AAALehigh Valley IronPigs · 37 PAwOBA .452 → .392 (−60)K% 18.9% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.92%	÷0.996	×1.200	—	—	22.80%
BB% (unintentional) /PA	24.32%	÷1.075	×0.690	—	×1.050	16.39%
HBP% /PA	2.70%	—	×0.940	—	×1.050	2.67%
Singles /BIP	30.00%	÷0.986	×0.930	—	×1.050	29.72%
Doubles /BIP	10.00%	÷1.018	×0.830	—	×1.050	8.56%
Triples /BIP	0.00%	÷0.900	×0.970	—	×1.050	0.00%
Home runs /BIP	5.00%	÷0.947	×0.700	—	×1.050	3.88%

Factors used: league row International League. Park (home-season share, regressed): HR 89, 1B 97, 2B 104, 3B 80, K 99, BB 115 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average).

Result: wOBA .452 → .392; ISO .185 → .161; BABIP .421 → .398. 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 A+Jersey Shore BlueClaws · 258 PAwOBA .346 → .278 (−68)K% 22.1% → 28.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.09%	÷1.023	×1.310	—	—	28.29%
BB% (unintentional) /PA	11.63%	÷0.972	×0.600	—	×1.042	7.48%
HBP% /PA	1.16%	—	×0.770	—	×1.042	0.93%
Singles /BIP	20.24%	÷1.035	×0.870	×0.983	×1.042	17.41%
Doubles /BIP	7.14%	÷1.000	×0.780	×0.983	×1.042	5.70%
Triples /BIP	3.57%	÷0.946	×0.850	×0.983	×1.042	3.29%
Home runs /BIP	3.57%	÷0.926	×0.880	—	×1.042	3.53%

Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 85, 1B 107, 2B 100, 3B 89, K 105, BB 94 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .346 → .278; ISO .187 → .166; BABIP .321 → .274. 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 AClearwater Threshers · 182 PAwOBA .386 → .310 (−76)K% 21.4% → 29.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.43%	÷0.982	×1.360	—	—	29.67%
BB% (unintentional) /PA	14.29%	÷0.973	×0.690	—	×1.030	10.44%
HBP% /PA	3.30%	—	×0.780	—	×1.030	2.65%
Singles /BIP	18.18%	÷1.042	×0.920	×1.005	×1.030	16.61%
Doubles /BIP	14.55%	÷0.938	×0.830	×1.005	×1.030	13.32%
Triples /BIP	0.00%	÷1.132	×0.910	×1.005	×1.030	0.00%
Home runs /BIP	4.55%	÷1.115	×0.800	—	×1.030	3.36%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 108, 2B 88, 3B 126, K 96, BB 95 — 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 ×1.005.

Result: wOBA .386 → .310; ISO .208 → .164; BABIP .340 → .307. 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 AAReading Fightin Phils · 22 PAwOBA .193 → .184 (−9)K% 18.2% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.18%	÷0.974	×1.220	—	—	22.78%
BB% (unintentional) /PA	0.00%	÷1.013	×0.700	—	×1.050	0.00%
HBP% /PA	4.55%	—	×0.850	—	×1.050	4.06%
Singles /BIP	23.53%	÷0.997	×0.970	—	×1.050	24.04%
Doubles /BIP	0.00%	÷1.022	×0.860	—	×1.050	0.00%
Triples /BIP	0.00%	÷0.983	×0.950	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.137	×0.780	—	×1.050	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 127, 1B 99, 2B 104, 3B 97, K 95, BB 103 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average).

Result: wOBA .193 → .184; ISO .000 → .000; BABIP .235 → .240. 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 AClearwater Threshers · 44 PAwOBA .294 → .249 (−45)K% 22.7% → 30.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.73%	÷1.020	×1.360	—	—	30.29%
BB% (unintentional) /PA	13.64%	÷0.972	×0.690	—	×1.045	10.12%
HBP% /PA	2.27%	—	×0.780	—	×1.045	1.85%
Singles /BIP	22.22%	÷0.965	×0.920	—	×1.045	22.15%
Doubles /BIP	3.70%	÷1.002	×0.830	—	×1.045	3.21%
Triples /BIP	3.70%	÷1.056	×0.910	—	×1.045	3.33%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 93, 2B 100, 3B 111, K 104, BB 94 — 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 .294 → .249; ISO .081 → .068; BABIP .296 → .287. 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 ROKFCL Phillies · 36 PAwOBA .449 → .334 (−114)K% 13.9% → 20.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.89%	÷0.989	×1.440	—	—	20.23%
BB% (unintentional) /PA	16.67%	÷1.005	×0.620	—	×1.008	10.36%
HBP% /PA	2.78%	—	×0.720	—	×1.008	2.01%
Singles /BIP	41.67%	÷1.028	×0.820	—	×1.008	33.48%
Doubles /BIP	8.33%	÷1.023	×0.720	—	×1.008	5.91%
Triples /BIP	0.00%	÷0.938	×0.720	—	×1.008	0.00%
Home runs /BIP	0.00%	÷1.028	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 106, 2B 105, 3B 88, K 98, BB 101 — 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).

Result: wOBA .449 → .334; ISO .069 → .049; BABIP .500 → .394. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ian Desmondlast yr '19 career totals — 11 seasons, 5,944 PA	9.0	5,944	181	181	263	315	427	+30	-4	25.8	25.0
/162	664	20	20	+3.3	-0.4	2.9	pk7: 24
#2Phil Garner'73-'88 * career totals — 13 seasons, 6,860 PA	10.3	6,860	109	225	256*	321*	420*	+25	+14	26.6	24.1
/162	664	11	22	+2.5	+1.3	2.6	pk7: 22
#3Jason Kipnislast yr '20 career totals — 10 seasons, 4,984 PA	7.5	4,984	126	136	260	333	416	+18	-11	22.6	21.9
/162	664	17	18	+2.4	-1.4	3.0	pk7: 21
#4Kelly Johnsonlast yr '16 career totals — 11 seasons, 5,139 PA	7.7	5,139	155	87	251	330	422	+8	-3	22.3	21.3
/162	664	20	11	+1.0	-0.4	2.9	pk7: 20
#5Orlando Cabrera'97-'11 * career totals — 14 seasons, 8,255 PA	12.4	8,255	123	216	262*	308*	381*	+84	+5	19.8	19.1
/162	664	10	17	+6.8	+0.4	1.6	pk7: 18
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.3	4,152	119	156	233	319	391	+42	+3	17.8	16.2
/162	664	19	25	+6.8	+0.5	2.9	pk7: 15
#6Freddie Patek'68-'81 * career totals — 13 seasons, 6,246 PA	9.4	6,246	41	385	242*	311*	356*	+66	-5	14.7	15.3
/162	664	4	41	+7.0	-0.5	1.6	pk7: 16

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
Aidan Miller (OGILVIE)	23	—	—	—	—	227/320/363	137	297	5	12	26%	10%	97	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●CJ Abrams 2024 · MLB	23	50→53	47→60	62→60	43	250/298/393	143	290	14	34	19%	4%	94	+0.9	251/312/436	185	291	20	30	21%	6%	109	+2.0	252/319/452	200	292	23	30	22%	7%	117	+2.7
✕Anthony Volpe 2024 · MLB	23	42→50	52→55	58→55	48	218/296/393	175	269	19	27	26%	9%	94	+0.9	225/286/370	145	282	14	22	25%	7%	84	+0.2	226/286/365	138	282	13	24	24%	7%	83	+0.1
●Desmond Jennings 2010 · AAA	23	57→61	45→50	63→60	52	274/336/411	137	313	10	34	16%	8%	112	+2.2	254/323/391	137	305	11	33	19%	8%	103	+1.5	246/325/404	158	293	16	28	21%	9%	107	+1.9
✕Tyler Black 2024 · AAA	24	51→53	48→50	63→60	54	248/344/409	162	313	13	33	23%	11%	115	+2.4	235/325/365	130	309	11	28	25%	10%	98	+1.2	225/318/339	114	302	9	27	26%	10%	86	+0.2
●B.J. Upton 2007 · MLB	22	54→60	44→60	59→60	50	259/328/382	123	328	11	37	23%	9%	102	+1.5	266/350/413	147	342	15	33	24%	11%	118	+2.6	264/354/415	151	338	15	35	24%	12%	120	+2.9
●Matt McLain 2023 · AA	23	41→51	50→55	59→55	48	209/297/370	161	292	17	24	33%	10%	89	+0.5	248/327/426	178	332	20	21	29%	9%	113	+2.3	229/312/388	159	300	18	22	28%	9%	98	+1.1
★Rickie Weeks Jr. 2007 · MLB	24	53→58	50→55	58→55	48	260/347/420	160	322	16	22	23%	8%	119	+2.7	246/350/422	176	299	17	22	22%	11%	120	+2.8	256/348/440	184	314	21	11	24%	10%	125	+3.4
●Maikel Garcia 2023 · MLB	23	52→58	41→45	57→60	48	250/309/356	106	315	8	27	22%	8%	88	+0.5	254/311/364	110	310	8	26	19%	8%	92	+0.7	260/322/390	130	293	10	24	14%	8%	102	+1.4
●Jakob Marsee 2024 · AA	23	47→49	47→45	58→60	58	234/337/363	130	285	15	28	22%	12%	103	+1.5	219/318/347	128	277	12	34	24%	11%	92	+0.7	217/321/350	133	273	12	37	23%	11%	92	+0.8
●Royce Lewis 2023 · MLB	24	52→51	51→60	56→50	47	259/321/431	172	315	18	23	23%	7%	112	+2.2	258/315/457	199	302	27	14	24%	7%	116	+2.5	245/300/432	188	279	27	12	23%	7%	105	+1.0
✕Jordan Lawlar 2024 · MLB	22	47→55	47→50	59→60	47	231/310/369	138	309	14	28	28%	8%	94	+0.9	240/311/398	158	324	15	25	29%	8%	100	+1.3	247/313/444	196	333	20	28	30%	7%	109	+1.0
✕Victor Robles 2020 · MLB	23	51→54	48→50	55→60	44	251/318/402	152	304	14	26	22%	6%	104	+1.6	228/300/350	122	292	11	19	25%	6%	86	+0.3	282/353/387	104	351	6	51	19%	6%	113	+0.7
✕Oswald Peraza 2023 · MLB	23	48→54	48→50	57→60	42	240/294/380	140	304	17	31	27%	6%	90	+0.6	219/285/342	123	278	15	25	26%	7%	78	-0.3	204/275/315	112	259	14	24	26%	7%	67	-0.7
●Gregory Polanco 2015 · MLB	23	53→57	47→60	54→55	49	261/315/399	139	304	14	25	19%	7%	101	+1.4	254/309/406	152	296	15	20	19%	7%	101	+1.4	250/314/453	203	277	24	14	19%	8%	115	+2.1
✕Lastings Milledge 2009 · MLB	24	52→61	48→50	51→55	47	260/324/404	144	300	15	20	19%	6%	107	+1.8	265/318/378	113	308	10	18	17%	6%	97	+1.1	266/317/367	102	308	8	19	16%	6%	94	+0.6
✕Eguy Rosario 2023 · AAA	23	48→54	48→55	52→55	45	238/301/386	148	304	14	21	26%	7%	94	+0.9	222/284/374	152	291	16	17	28%	7%	85	+0.2	202/265/351	149	268	17	17	30%	7%	70	-0.4
●Bo Bichette 2020 · MLB	22	55→62	51→60	52→55	45	274/322/446	172	332	16	21	22%	6%	115	+2.4	283/327/467	184	336	21	18	22%	6%	122	+3.0	296/338/473	177	346	22	13	20%	5%	129	+3.8
✕Ryan Kalish 2011 · MLB	23	51→53	48→50	57→55	49	254/316/397	143	308	15	23	22%	8%	101	+1.4	234/291/348	114	301	11	21	25%	7%	81	-0.1	217/264/312	94	293	8	20	27%	6%	59	-0.9
★Hanley Ramirez 2007 · MLB	23	57→66	47→60	61→60	49	277/332/432	156	320	12	33	17%	7%	115	+2.4	307/370/515	208	340	22	33	16%	8%	149	+4.9	317/385/536	219	346	25	33	16%	9%	160	+6.5
●Brice Turang 2023 · AAA	23	52→60	42→50	56→60	48	250/310/350	100	316	9	23	23%	8%	88	+0.4	250/312/358	108	309	10	31	21%	8%	91	+0.7	269/346/409	140	334	13	28	22%	10%	116	+2.7

Aidan Miller

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps