Robert Moore — OGILVIE

Robert Moore2B Lehigh Valley IronPigs

Age 24 S/R 5'7" / 170 lbs AAA HR +11%H +4% Svc 0.0 · Ctrl thru 2033 peak 0.5 · 2029

wRC+†73

AVG/OBP/SLG.205 / .270 / .313

PA320

HR5

SB9

K%25

BB%7

MLB%10%

Scouting · now → future

HIT

35→35

PWR

40→40

SPD

45→45

EYE

44↗45

trajectory · 10 yrs

0.5peak

2029

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.4	$2M	+$0.9M
2029	Arb-1	$0.8M	+0.5	$2M	+$1M
2030	Arb-2	$0.9M	+0.4	$2M	+$0.9M
2031	Arb-3	$0.4M	+0.2	$0.9M	+$0.5M
2032	Ext / FA-deal	$0.4M	+0.1	$0.5M	+$0.1M
2033	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$6M	+$2M

Career Projections (MLE)

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	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
2022	20	INTL	3 teams	323	292	53	14	0	5	22	98	5	21	6	.182	.251	.281	.532	.099	.249	30	7	.238	40	-22	+2	+0	+1	+9	-1.0
2023	21	A+	Wisconsin Timber Rattlers	563	508	96	27	2	6	37	145	11	26	13	.189	.259	.285	.544	.096	.249	26	7	.240	42	-37	+0	+0	+2	+16	-1.9
2024	22	AA	Reading Fightin Phils	435	392	82	16	0	7	26	96	9	19	11	.209	.274	.304	.578	.094	.257	22	6	.255	53	-23	-1	+0	+2	+12	-1.0
2025	23	AA	3 teams	398	359	65	18	1	6	27	114	5	6	3	.181	.248	.287	.535	.106	.244	29	7	.233	37	-28	+0	+0	+1	+11	-1.6
▸ 2026 Season (actual · ROS · total)
2026	24	AAA	Lehigh Valley IronPigs	37	32	7	1	0	3	4	7	1	2	0	.219	.324	.531	.856	.312	.182	19	11	.333	113	+1	+0	+0	+0	+1	0.2
ROS	24	MLB	PHI	283	257	53	12	1	6	20	70	4	7	3	.206	.274	.331	.605	.125	.258	25	7	.273	67	-10	+0	+0	+1	+8	-0.1
TOT	24	MLB	PHI	320	289	60	13	1	9	24	77	5	9	3	.208	.280	.353	.633	.145	.250	24	8	.280	73	-10	+1	+0	+1	+9	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 25%	PHI	367	330	70	16	1	8	29	84	5	9	4	.212	.286	.339	.625	.127	.258	23	8	.284	76	-10	+0	+0	+1	+10	0.2
2028	26	MLB 43%	PHI	405	363	78	17	1	10	33	93	6	9	4	.215	.291	.350	.641	.135	.261	23	8	.289	79	-9	+0	+0	+1	+11	0.4
2029	27	MLB 58%	PHI	418	374	81	18	1	10	35	96	6	9	4	.217	.294	.350	.644	.134	.263	23	8	.291	81	-9	+0	+0	+1	+12	0.5
2030	28	MLB 68%	PHI	424	380	82	18	1	10	35	98	6	8	3	.216	.292	.347	.640	.132	.263	23	8	.291	81	-9	+0	-1	+2	+12	0.4
2031	29	MLB 77%	PHI	419	375	81	18	1	10	35	98	6	7	3	.216	.293	.349	.643	.133	.262	23	8	.288	79	-10	+0	-1	+1	+12	0.2
2032	30	MLB 84%	PHI	414	370	78	17	1	9	35	98	6	6	2	.211	.290	.335	.625	.124	.261	24	8	.285	77	-11	+0	-2	+1	+12	0.1
2033	31	MLB 91%	PHI	401	359	75	16	1	9	34	97	5	5	2	.209	.286	.334	.621	.125	.259	24	8	.282	74	-12	+0	-3	+1	+11	-0.2
2034	32	MLB	PHI	384	344	71	15	1	8	32	95	5	3	1	.206	.283	.326	.609	.119	.258	25	8	.277	70	-13	+0	-4	+1	+11	-0.4
2035	33	MLB	PHI	355	317	65	14	1	7	30	90	5	2	1	.205	.284	.322	.606	.117	.256	25	8	.271	66	-14	+0	-4	+1	+10	-0.7
2036	34	MLB	PHI	311	278	56	12	1	6	26	82	4	1	1	.201	.279	.317	.596	.115	.254	26	8	.265	61	-14	-0	-5	+1	+9	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			5900	5298	1086	248	14	117	456	1454	88	138	61	.205	.279	.323	.602	.118	.258	25	8	.271	65	-232	+3	-20	+21	+167	-6.1
/ 162G	—			650	584	120	27	2	13	50	160	10	15	7	.205	.280	.325	.605	.120	.258	25	8	.271	65	-26	+0	-2	+2	+18	-0.7

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2022	20	A	Carolina Mudcats	125	110	29	8	0	3	13	28	2	6	2	.264	.352	.418	.770	.155	.329	22	10	.347	124	+3	+0	—	—	+4	0.7
2022	20	ROK	ACL Brewers Blue	18	15	2	1	0	0	2	2	1	1	0	.133	.278	.200	.478	.067	.154	11	11	.240	42	-1	+0	—	—	+1	-0.0
2022	20	INTL	Brisbane Bandits	180	153	45	10	0	8	21	27	2	14	4	.294	.386	.516	.903	.222	.303	15	12	.389	156	+11	+1	—	—	+5	1.8
2023	21	A+	Wisconsin Timber Rattlers	563	490	114	33	3	8	55	108	11	26	13	.233	.324	.361	.685	.129	.280	19	10	.308	94	-4	+0	—	—	+16	1.3
2024	22	AA	Reading Fightin Phils	435	379	91	20	0	9	39	73	9	19	11	.240	.326	.364	.690	.124	.273	17	9	.309	95	-3	-1	—	—	+12	0.9
2025	23	AAA	Lehigh Valley IronPigs	32	27	6	2	0	1	3	1	2	1	0	.222	.344	.407	.751	.185	.200	3	9	.341	119	+1	+0	—	—	+1	0.2
2025	23	AA	Reading Fightin Phils	321	281	56	17	1	5	32	79	2	4	3	.199	.286	.320	.606	.121	.256	25	10	.273	67	-12	-0	—	—	+9	-0.3
2025	23	INTL	Aguilas Cibaenas	45	36	8	2	1	2	7	10	1	1	0	.222	.364	.500	.864	.278	.240	22	16	.371	142	+2	+0	—	—	+1	0.4

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
Robert Moore (OGILVIE)	24	35	40	45	45	.205/.270/.313	.108	.264	5	7	25%	7%	62	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Manuel Bobadilla 2008 · AAA	24	43	40→45	44→45	46	.210/.268/.301	.090	.259	8	7	22%	6%	56	-1.3	.230/.300/.345	.115	.286	12	6	23%	8%	82	+0.5	.237/.309/.344	.107	.292	11	4	21%	8%	83	+0.3
✕Jan Vázquez 2015 · AA	24	41	42→40	46→45	39	.206/.262/.303	.097	.286	11	9	31%	6%	55	-1.4	.212/.282/.306	.094	.294	8	8	29%	7%	65	-0.7	.217/.296/.306	.089	.289	8	7	26%	7%	67	-0.2
✕Riley Unroe 2021 · AAA	25	45→47	41→45	47→55	44	.216/.278/.314	.098	.296	9	12	29%	7%	64	-0.8	.217/.285/.334	.117	.287	11	17	27%	8%	72	-0.2	.221/.306/.342	.121	.297	13	26	28%	10%	80	+0.2
✕Jon Del Campo 2012 · AAA	24	42	39→45	48→55	39	.207/.241/.297	.090	.266	6	9	25%	4%	43	-2.2	.247/.279/.346	.099	.314	9	16	23%	4%	72	-0.2	.267/.300/.379	.112	.337	12	18	24%	3%	90	+0.6
✕Alika Williams 2023 · AAA	24	43→44	42→45	44→45	43	.211/.265/.309	.098	.267	10	7	25%	6%	57	-1.2	.221/.276/.328	.107	.282	10	7	24%	6%	67	-0.5	.227/.280/.331	.104	.286	10	6	23%	6%	66	-0.4
✕Rodrigo Aguirre 2008 · AAA	24	42	40→30	45	42	.208/.247/.297	.089	.256	7	10	22%	5%	46	-2.0	.248/.292/.358	.110	.280	9	6	15%	5%	81	+0.4	.267/.313/.345	.078	.298	4	2	11%	6%	82	+0.2
✕Luis Santana 2022 · AA	23	40	42→45	47→50	40	.200/.259/.300	.100	.270	10	10	29%	6%	53	-1.5	.216/.274/.342	.126	.277	14	9	26%	6%	70	-0.3	.207/.266/.330	.122	.258	15	7	25%	5%	61	-0.6
✕Grae Kessinger 2022 · AA	24	37→29	42→45	48→50	42	.191/.254/.286	.095	.257	11	14	30%	7%	47	-1.9	.192/.267/.310	.118	.259	14	15	30%	8%	59	-1.1	.186/.266/.299	.113	.246	14	14	29%	9%	54	-0.9
✕Marcus Littlewood 2016 · AA	24	39	45	46→45	47	.201/.268/.321	.120	.255	13	5	26%	8%	63	-0.9	.210/.266/.319	.109	.280	11	5	27%	7%	60	-1.0	.197/.254/.294	.096	.267	9	2	28%	7%	46	-0.9
✕Arquímedes Gamboa 2022 · AAA	24	39→43	41→40	52→50	47	.189/.268/.284	.095	.274	9	15	32%	10%	53	-1.5	.204/.283/.304	.100	.299	9	14	32%	10%	65	-0.7	.195/.282/.288	.093	.289	8	15	32%	10%	56	-0.7
✕Skye Bolt 2019 · AA	25	40→39	46→50	50	41	.201/.262/.333	.132	.280	13	11	32%	7%	63	-0.9	.212/.276/.351	.139	.302	14	12	33%	8%	73	-0.1	.234/.302/.369	.135	.310	15	12	28%	8%	86	+0.3
✕Eloy Gutierrez 2009 · AAA	24	39→49	43→45	51→50	40	.195/.252/.307	.112	.282	10	11	33%	6%	52	-1.6	.243/.302/.341	.098	.334	8	12	27%	7%	80	+0.4	.247/.308/.326	.079	.342	6	13	27%	8%	75	+0.0
✕Yasel Antuna 2023 · AA	23	37→35	44→45	48→50	47	.188/.265/.299	.111	.257	12	13	30%	9%	56	-1.3	.186/.265/.284	.098	.270	9	13	32%	9%	53	-1.5	.142/.231/.224	.082	.210	8	12	34%	9%	22	-1.5
✕Moises Gutierrez 2019 · AAA	24	48→36	43→45	48→45	40	.236/.279/.345	.109	.300	11	9	25%	5%	72	-0.2	.204/.246/.321	.117	.305	13	5	36%	4%	53	-1.5	.184/.225/.292	.108	.278	12	1	38%	4%	34	-2.4
✕Noe Becerra 2011 · AAA	24	43	40→30	45→40	46	.211/.266/.297	.086	.263	8	9	23%	7%	54	-1.4	.237/.284/.320	.083	.272	6	6	15%	6%	67	-0.5	.278/.325/.338	.060	.315	3	0	12%	6%	89	+0.3
✕Alejandro Gonzalez 2010 · AAA	24	45→50	42→45	49→50	46	.222/.284/.325	.104	.271	9	10	21%	6%	70	-0.3	.237/.315/.324	.087	.309	7	14	24%	8%	83	+0.6	.233/.310/.340	.107	.294	12	6	23%	7%	83	+0.4
✕Shayne Fontana 2022 · AA	25	41	42→45	48→55	46	.197/.276/.303	.106	.284	9	9	32%	9%	61	-1.0	.215/.297/.325	.110	.300	11	14	30%	9%	76	+0.1	.222/.305/.326	.104	.296	11	19	27%	8%	77	+0.1
✕Luke Williams 2021 · AA	24	41→45	42→45	51→60	43	.204/.265/.308	.104	.270	9	19	27%	6%	57	-1.2	.226/.285/.324	.098	.310	8	27	27%	7%	69	-0.4	.227/.288/.355	.128	.309	13	42	29%	7%	76	+0.0
✕Rafael Marchán 2023 · MLB	24	42	39→45	48→40	47	.202/.261/.286	.084	.233	6	5	16%	6%	50	-1.7	.224/.293/.331	.107	.256	9	5	16%	7%	76	+0.0	.228/.306/.335	.107	.259	10	2	16%	8%	80	+0.1
✕Bryan Holaday 2012 · AA	24	42	41→45	48→40	41	.206/.264/.302	.095	.280	9	7	29%	6%	55	-1.4	.216/.266/.302	.086	.273	7	5	22%	5%	56	-1.3	.217/.286/.341	.124	.252	13	2	19%	7%	71	-0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)