Robert Phelps — OGILVIE

Robert PhelpsSS Clearwater Threshers

Age 22 R/R 5'10" / 180 lbs A HR +14% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION479 act + 9 ros · stats below = ROS only

showingROS

wRC+†90

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP283

ISO119

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$55M ctrl surplus

Tools · ContractCON 54 / POW 43

Toolsscout grade

CONTACT54

scouting grade only

POWER43

scouting grade only

EYE62

scouting grade only

SPEED62

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
2026	MiLB	still in minors · estimated debut 2031
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	+1.2	$7M	+$6M
2032	Pre-Arb	$0.9M	+1.1	$6M	+$5M
2033	Pre-Arb	$1.0M	+1.0	$5M	+$4M
2034	Arb-1	$3M	+0.8	$2M	+$0.4M
2035	Arb-2	$4M	+0.6	$1M	+$0.0M (cut)
2036	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$6M		$20M	+$16M

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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2025	21	A	Clearwater Threshers	—	53	39	9	2	0	0	12	8	1	5	1	231	423	282	705	51	281	15	23	340	116	+1	+1	—	—	+1	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Clearwater Threshers	—	53	42	8	2	0	0	9	11	1	5	1	190	346	238	584	48	257	21	17	294	85	-1	+1	—	—	+1	0.1
2025	21	A MLE	Clearwater Threshers	—	53	42	8	2	0	0	9	11	1	5	1	190	346	238	584	48	250	21	17	294	85	—	—	—	—	—	—
2025	21	A RAW	Clearwater Threshers	—	53	39	9	2	0	0	12	8	1	5	1	231	423	282	705	51	281	15	23	340	85	—	—	—	—	—	—
2025	21	A MLE	Clearwater Threshers	—	53	43	8	2	0	0	9	11	1	5	1	186	346	233	579	47	257	21	17	294	85	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	21	A MLE	Clearwater Threshers	—	53	43	8	2	0	0	9	11	1	5	1	186	346	233	579	47	257	21	17	294	85	—	—	—	—	—	—
YTD	22	A MLE	PHI	—	479	412	89	13	1	8	46	109	15	28	11	216	317	311	628	95	269	23	10	282	77	-13	+1	+0	+5	+10	0.3
▸ 2026 season
YTD	22	A RAW	PHI	—	368	295	80	13	1	7	53	60	15	19	7	271	408	393	801	122	313	16	14	365	77	—	—	—	—	—	—
YTD	22	A+ RAW	PHI	—	111	100	19	1	0	2	10	18	0	9	4	190	264	260	524	70	210	16	9	242	77	—	—	—	—	—	—
ROS	22	A MLE	PHI	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		280	22	11	301	90	-0	+0	+0	+0	+0	0.0
TOT	22	A MLE	PHI	—	488	420	90	13	1	8	47	111	15	28	11	214	315	307	622	93	267	23	10	282	77	-13	+1	+0	+5	+11	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	PHI	43%	517	448	101	17	2	9	52	115	12	15	5	225	322	333	655	107	281	22	10	303	91	-6	+1	+0	+6	+11	1.2
2028	24	MLB MLE	PHI	58%	559	485	111	19	2	11	56	123	13	16	6	229	325	344	669	115	283	22	10	307	94	-4	+1	+0	+6	+12	1.5
2029	25	MLB MLE	PHI	65%	590	513	119	21	2	12	59	130	13	17	6	232	326	351	677	119	283	22	10	309	96	-3	+1	+0	+6	+13	1.7
2030	26	MLB MLE	PHI	68%	589	512	119	21	2	13	59	129	13	17	6	232	327	357	684	125	283	22	10	310	96	-3	+1	+0	+6	+13	1.8
2031	27	MLB MLE	PHI	68%	584	506	117	20	2	13	60	129	13	17	6	231	328	356	684	125	283	22	10	311	96	-3	+1	+0	+6	+13	1.8
2032	28	MLB MLE	PHI	68%	576	499	115	20	2	12	59	128	13	16	6	230	327	351	678	120	283	22	10	310	96	-3	+1	-1	+6	+12	1.6
2033	29	MLB MLE	PHI	66%	568	492	114	20	2	12	59	127	12	14	5	232	329	354	682	122	282	22	10	308	95	-4	+1	-1	+6	+12	1.4
2034	30	MLB MLE	PHI	66%	558	483	110	19	2	11	58	126	12	13	5	228	325	344	669	116	282	23	10	306	93	-5	+1	-2	+6	+12	1.2
2035	31	MLB MLE	PHI	65%	548	474	107	18	2	11	57	126	12	11	4	226	324	342	666	116	280	23	10	302	90	-6	+1	-3	+6	+12	0.9
2036	32	MLB MLE	PHI	65%	406	352	78	13	1	8	42	95	9	7	2	222	320	332	652	111	277	23	10	297	87	-6	+1	-4	+4	+9	0.4
2037	33	MLB MLE	PHI	65%	376	326	71	12	1	7	39	90	8	5	2	218	316	325	642	107	273	24	10	290	83	-8	+0	-4	+4	+8	0.0
2038	34	MLB MLE	PHI	60%	332	288	60	9	1	5	34	81	7	3	1	208	307	299	606	90	268	24	10	282	77	-9	+0	-5	+4	+7	-0.3
2027	23	MLB CTX	PHI	43%	223	193	45	8	1	4	23	50	5	6	2	233	330	347	677	114	284	22	10	289	91	-2	+0	+0	+2	+5	0.5
2028	24	MLB CTX	PHI	58%	324	281	65	11	1	7	33	72	7	9	3	231	327	352	679	121	285	22	10	295	94	-2	+1	+0	+3	+7	0.9
2029	25	MLB CTX	PHI	65%	382	333	78	14	1	9	38	84	8	11	4	234	327	363	691	129	286	22	10	298	96	-2	+1	+0	+4	+8	1.1
2030	26	MLB CTX	PHI	68%	401	349	81	14	1	9	40	88	9	12	4	232	327	355	682	123	286	22	10	299	96	-2	+1	+0	+4	+9	1.2
2031	27	MLB CTX	PHI	68%	397	345	80	14	1	9	40	88	9	11	4	232	327	357	684	125	286	22	10	299	96	-2	+1	+0	+4	+9	1.2
2032	28	MLB CTX	PHI	68%	392	340	79	14	1	9	40	87	9	11	4	232	329	359	688	126	286	22	10	298	96	-2	+1	-0	+4	+8	1.1
2033	29	MLB CTX	PHI	66%	377	327	75	13	1	8	39	84	8	10	3	229	326	349	675	119	285	22	10	297	95	-2	+1	-1	+4	+8	1.0
2034	30	MLB CTX	PHI	66%	366	317	73	13	1	8	38	83	8	8	3	230	328	353	681	123	284	23	10	294	93	-3	+0	-1	+4	+8	0.8
2035	31	MLB CTX	PHI	65%	356	308	70	12	1	7	37	82	8	7	3	227	326	341	667	114	282	23	10	290	90	-4	+0	-2	+4	+8	0.6
2036	32	MLB CTX	PHI	65%	263	228	51	9	1	5	27	61	6	4	2	224	322	338	660	114	279	23	10	285	87	-4	+0	-2	+3	+6	0.2
2037	33	MLB CTX	PHI	65%	243	211	47	8	1	5	25	58	5	3	1	223	320	341	661	118	276	24	10	279	83	-5	+0	-3	+3	+5	0.0
2038	34	MLB CTX	PHI	60%	199	173	37	6	1	3	20	49	4	2	1	214	310	312	622	98	270	25	10	271	77	-5	+0	-3	+2	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3923	3405	781	136	12	83	400	886	86	94	34	229	326	349	675	120	284	23	10	293	92	-36	+5	-13	+42	+85	8.5
/ 162G	—	A+C		—	650	564	130	23	2	14	66	147	14	16	6	230	326	353	678	122	286	23	10	293	92	-6	+1	-2	+7	+14	1.4
Career	—	MLE		—	6265	5428	1231	211	21	124	644	1412	138	156	55	227	324	342	666	115	282	23	10	304	92	-59	+9	-20	+67	+135	13.4
/ 162G	—	MLE		—	650	563	128	22	2	13	67	146	14	16	6	227	325	343	667	115	282	22	10	304	92	-6	+1	-2	+7	+14	1.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Ingelast yr '13 career totals — 13 seasons, 5,617 PA	8.5	5,617	152	45	233	301	384	+26	+73	19.8	20.5
/162	664	18	5	+3.1	+8.6	2.3	pk7: 21
#2Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#3Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#4Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.1	4,065	81	98	228	321	345	+42	+27	12.3	10.7
/162	664	13	16	+6.9	+4.4	2.0	pk7: 9
#5Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#6Gordon 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

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 Phelps (OGILVIE)	22	49→54	38→43	57→62	62	223/322/327	105	280	2	6	22%	10%	90	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Senzel 2017 · A	22	48→57	45→50	51→50	46	230/295/364	133	302	10	16	26%	8%	86	+0.3	251/305/391	140	330	12	14	26%	7%	96	+1.0	256/310/402	146	332	13	16	26%	7%	97	+0.7
✕Taylor Motter 2012 · A	22	49→50	42→55	55	53	235/311/343	108	288	9	20	21%	10%	87	+0.4	229/293/332	103	283	8	20	21%	8%	78	-0.3	208/287/374	165	259	20	5	27%	10%	85	+0.1
✕Juan Mora 2022 · A	22	46	44→45	55	46	225/303/346	121	300	11	14	27%	8%	86	+0.3	225/283/333	108	304	9	9	28%	5%	75	-0.5	222/278/328	106	295	10	8	27%	5%	70	-0.4
✕Mario Lisson 2006 · A	22	46→49	43→50	57→55	49	219/303/341	122	299	9	19	28%	10%	84	+0.2	220/282/334	114	289	10	21	26%	7%	75	-0.5	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Brent Morel 2009 · A	22	51→57	43→50	54→50	45	251/298/360	109	298	11	12	20%	6%	86	+0.3	251/287/380	129	292	13	12	18%	5%	86	+0.3	253/289/383	129	290	13	11	17%	4%	85	+0.2
✕Osleivis Basabe 2023 · AA	22	57→62	40→45	56→50	46	270/315/373	103	320	5	17	17%	6%	95	+0.9	244/289/348	104	297	7	13	20%	5%	80	-0.2	230/276/336	106	279	9	11	21%	5%	70	-0.6
✕Nicky Lopez 2017 · A	22	47→57	42→40	57→55	51	229/304/337	108	264	10	17	17%	8%	84	+0.1	252/304/335	83	284	5	13	13%	6%	82	-0.0	264/325/345	82	303	4	14	13%	8%	90	+0.4
●Matt Duffy 2014 · A	23	51→61	44→45	53→50	50	251/310/372	122	289	12	16	18%	8%	93	+0.8	277/324/389	112	329	9	15	18%	6%	102	+1.5	283/337/387	104	329	9	12	16%	7%	104	+1.4
✕Jesus Rodriguez 2023 · A	21	49→55	41→45	50	49	236/301/348	112	284	7	12	19%	7%	84	+0.2	250/311/362	112	306	9	14	20%	7%	91	+0.7	256/318/360	105	310	9	16	19%	7%	92	+0.5
✕Leo Jiménez 2023 · A	22	46→49	40→45	48→45	49	216/322/312	96	283	8	9	24%	9%	86	+0.3	226/314/335	109	285	10	7	23%	7%	88	+0.4	228/319/335	107	286	10	5	22%	7%	87	+0.2
●Jemile Weeks 2009 · A	22	50→60	41→45	52→55	50	239/316/342	103	298	8	14	22%	8%	89	+0.5	247/305/360	113	295	9	16	19%	7%	88	+0.5	262/318/375	113	310	7	21	17%	7%	94	+0.7
✕Henry Henry 2008 · A	21	52	41→40	50→60	53	246/331/344	98	291	8	14	18%	9%	95	+1.0	238/298/316	78	271	5	21	13%	6%	76	-0.4	250/305/317	67	277	4	30	11%	6%	75	-0.2
✕Corey Toups 2015 · A	22	50	40→45	54→50	52	233/312/338	105	299	6	8	23%	9%	86	+0.3	225/285/339	114	307	8	16	28%	7%	77	-0.3	217/277/333	116	302	9	18	29%	6%	70	-0.7
✕Cal Stevenson 2019 · A	22	57	39→45	59→60	63	265/358/366	102	307	4	16	14%	13%	109	+2.0	234/308/325	91	293	7	13	21%	10%	82	-0.0	239/332/352	113	308	9	30	23%	12%	96	+0.6
✕Austin Martin 2022 · AA	23	51→52	40	51→60	51	238/344/333	95	319	6	14	25%	10%	99	+1.3	228/320/311	83	283	5	25	20%	9%	85	+0.2	257/354/339	82	314	4	22	17%	11%	101	+0.8
✕Josh Rutledge 2012 · A	23	56→60	45→50	54→50	42	270/319/404	134	344	11	12	24%	5%	104	+1.6	255/300/393	138	313	12	14	22%	5%	95	+0.9	252/299/388	136	308	12	13	22%	5%	91	+0.6
●Vaughn Grissom 2022 · A	21	53→62	42→45	54→55	49	253/325/364	110	312	9	12	21%	8%	97	+1.1	271/334/394	123	324	11	17	19%	7%	107	+1.9	270/336/389	118	323	11	18	19%	7%	104	+1.3
✕Ke'Bryan Hayes 2019 · AA	22	50→55	41→50	53→50	47	240/299/345	104	301	6	14	22%	7%	82	+0.0	245/303/377	132	305	11	12	22%	7%	92	+0.7	257/314/398	140	314	13	16	21%	7%	99	+1.0
✕James Skelton 2008 · A	22	53→57	42→40	51→50	53	255/323/364	109	305	8	13	19%	9%	97	+1.1	234/327/323	89	310	7	13	24%	12%	89	+0.5	229/331/314	85	302	5	10	23%	12%	88	+0.1
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2

Career Stats + Projections

Career Comps

Career Path Comps