Player 834925 — OGILVIE

Player 8349251B Myrtle Beach Pelicans

Age — —/— A HR -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION215 act + 27 ros · stats below = ROS only

showingROS

wRC+†79

AVG/OBP/SLG.182 / .333 / .227

PA27

HR0

K%33

BB%15

BABIP284

ISO45

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 24 / POW 38

Toolsscout grade

CONTACT24

scouting grade only

POWER38

scouting grade only

EYE75

scouting grade only

SPEED55

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	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	—	A MLE	CHC	—	215	171	32	4	4	3	34	76	9	14	1	187	350	310	660	123	312	35	16	301	90	-3	+2	+0	-4	+5	0.1
▸ 2026 season
YTD	—	ROK RAW	CHC	—	82	59	19	3	4	2	16	20	6	11	1	322	506	610	1.116	288	447	24	20	477	90	—	—	—	—	—	—
YTD	—	A RAW	CHC	—	133	92	19	2	1	2	38	33	3	3	0	207	451	315	766	109	298	25	29	374	90	—	—	—	—	—	—
ROS	—	A MLE	CHC	0%	27	22	4	1	0	0	4	9	1	1	0	182	333	227	561	45	280	33	15	285	79	-1	+0	+0	-0	+1	-0.0
TOT	—	A MLE	CHC	—	242	193	36	5	4	3	38	85	10	15	1	187	349	301	649	114	311	35	16	299	89	-3	+3	+0	-4	+5	0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	CHC	0%	365	309	59	9	4	6	46	116	7	8	1	191	309	304	614	113	279	32	13	287	80	-9	+1	+0	-7	+8	-0.6
2028	25	MLB MLE	CHC	0%	440	374	73	12	4	8	54	137	9	10	1	195	311	313	624	118	280	31	12	290	82	-9	+2	+0	-8	+10	-0.6
2029	25	MLB MLE	CHC	0%	492	420	83	13	5	10	60	151	9	11	2	198	311	324	635	126	280	31	12	292	84	-10	+1	+0	-9	+11	-0.6
2030	25	MLB MLE	CHC	0%	527	448	90	15	5	10	64	160	10	12	2	201	314	324	638	123	280	30	12	293	84	-10	+2	+0	-9	+11	-0.6
2031	25	MLB MLE	CHC	0%	552	469	93	15	5	11	67	168	11	12	2	198	313	322	635	124	280	30	12	293	85	-10	+2	+0	-10	+12	-0.7
2032	25	MLB MLE	CHC	0%	570	485	96	16	5	11	69	173	11	12	2	198	312	320	631	122	280	30	12	293	85	-10	+2	+0	-10	+12	-0.7
2033	25	MLB MLE	CHC	0%	584	497	99	16	5	12	71	177	11	13	2	199	313	324	637	125	279	30	12	293	85	-11	+2	+0	-10	+13	-0.7
2034	25	MLB MLE	CHC	0%	594	504	101	16	6	12	73	180	12	13	2	200	316	327	643	127	279	30	12	294	85	-11	+2	+0	-11	+13	-0.7
2027	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	274	80	—	—	+0	-0	—	—
2028	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	277	82	—	—	+0	-0	—	—
2029	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	284	—	—	279	84	—	—	+0	-0	—	—
2030	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	284	—	—	280	84	—	—	+0	-0	—	—
2031	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	280	85	—	—	+0	-0	—	—
2032	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	281	85	—	—	+0	-0	—	—
2033	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	281	85	—	—	+0	-0	—	—
2034	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	281	85	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	4151	3528	698	113	39	80	508	1271	81	92	14	198	313	320	633	122	281	31	12	292	84	-80	+13	+0	-74	+90	-5.2
/ 162G	—	MLE		—	650	552	110	18	6	13	80	199	13	14	2	199	315	324	639	125	283	31	12	292	84	-12	+2	+0	-12	+14	-0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.7	4,444	86	98	198	309	321	-50	+0	0.1	0.5
/162	664	13	15	-7.5	+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
Player 834925 (OGILVIE)	25	24	38	55	75	184/310/293	109	280	5	12	33%	13%	79	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Vickerson 2014 · A	25	38	42→40	49→50	48	189/277/293	104	262	10	13	30%	10%	65	-1.2	203/300/302	99	285	9	11	29%	11%	76	-0.4	188/304/272	85	264	8	11	28%	12%	68	-0.6
✕Brian O'Grady 2017 · A	25	39→38	43→55	54→50	49	193/279/308	115	268	10	14	30%	10%	68	-1.0	200/271/341	141	275	15	14	31%	8%	72	-0.7	208/271/384	177	275	20	15	31%	7%	81	-0.0
✕Nick Podkul 2022 · AA	25	39	44→50	51→50	46	195/270/310	115	258	11	11	28%	8%	65	-1.2	209/297/348	139	287	16	6	31%	9%	84	+0.2	201/298/342	142	277	17	3	32%	10%	80	-0.1
✕Justin Farmer 2023 · A	24	38→33	44→40	54→55	51	186/293/300	113	289	12	20	36%	12%	73	-0.6	188/264/278	90	313	8	18	39%	9%	56	-1.9	158/223/219	62	275	5	22	41%	7%	24	-2.3
✕Jimmy Herron 2021 · A	25	40→45	41→45	48→55	47	196/269/292	96	252	8	14	25%	8%	61	-1.5	213/289/334	121	273	12	18	25%	8%	78	-0.3	219/295/351	133	265	15	24	23%	8%	81	-0.0
✕Anthony Seigler 2023 · A	24	41→39	42→45	46→55	56	196/304/308	112	272	9	11	28%	13%	78	-0.3	197/295/308	111	251	10	20	24%	12%	75	-0.5	219/309/345	126	268	10	25	21%	11%	85	+0.2
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Zach Zubia 2023 · A	25	40→35	44→45	46→30	54	186/307/298	112	307	12	3	38%	14%	78	-0.3	201/298/330	129	313	16	4	37%	11%	81	-0.1	187/284/317	130	280	18	2	37%	11%	71	-0.4
✕Trei Cruz 2023 · AA	25	37→47	41→45	51→50	51	181/275/279	98	273	8	13	34%	12%	61	-1.5	204/283/319	115	288	10	10	30%	10%	72	-0.7	228/304/337	109	310	9	10	27%	9%	82	+0.0
✕Alerick Soularie 2023 · A	24	39	44→45	53→60	44	192/273/305	114	293	11	16	36%	9%	65	-1.2	199/280/310	111	290	12	26	33%	9%	70	-0.9	181/272/285	104	255	13	39	32%	9%	60	-0.6
✕Duke Sardinha 2006 · A	25	42→34	40→50	46→45	45	207/265/301	95	267	8	8	25%	7%	60	-1.6	204/252/332	128	283	14	6	32%	5%	63	-1.3	198/247/335	137	267	16	5	32%	5%	59	-0.9
✕Andres Sosa 2023 · A	25	39	42→40	52→45	47	188/290/298	110	270	9	9	31%	9%	72	-0.7	197/285/289	92	286	7	7	31%	8%	67	-1.1	185/274/262	78	273	5	4	31%	7%	54	-0.8
✕Jackson Brennan 2008 · A	25	44→42	42→45	47→50	47	211/303/316	105	285	9	10	27%	8%	80	-0.2	211/299/300	89	300	7	10	29%	9%	74	-0.5	171/289/188	17	273	0	6	32%	12%	44	-0.5
✕Jeremy Rathjen 2014 · A	24	44→40	42→45	51→50	47	212/287/316	104	274	9	17	25%	8%	73	-0.6	207/267/342	135	274	15	11	29%	6%	72	-0.7	196/253/347	151	253	19	7	30%	6%	64	-0.7
✕Jose Pineda 2007 · A	25	42→40	43→45	50→45	43	208/278/319	111	295	11	10	32%	8%	70	-0.8	219/274/365	146	305	17	7	33%	6%	79	-0.2	215/264/384	170	287	22	3	33%	5%	77	-0.3
✕Dwanya Williams-Sutton 2021 · A	24	43	41→45	50	46	197/314/296	98	306	9	10	34%	10%	80	-0.1	208/311/330	122	325	12	13	36%	10%	86	+0.3	168/301/288	120	269	14	18	38%	11%	74	-0.2
✕Danny Payne 2011 · A	25	40→42	41→45	55→50	49	193/281/298	105	287	8	19	33%	10%	67	-1.1	201/284/326	125	320	11	14	37%	10%	74	-0.5	180/277/325	145	297	13	11	40%	11%	71	-0.5
✕Tyler Reichenborn 2023 · A	25	41→43	40→45	47→50	45	199/275/284	85	276	8	13	29%	8%	61	-1.5	209/281/317	108	288	11	11	29%	8%	71	-0.8	172/253/309	136	226	17	8	31%	9%	57	-0.5
✕JJ Schwarz 2021 · A	25	38	41→45	48→30	43	190/254/280	91	265	9	6	31%	7%	52	-2.2	214/281/329	115	298	12	3	30%	8%	73	-0.6	208/278/322	114	287	13	1	30%	9%	68	-0.5
✕Grae Kessinger 2023 · AA	25	35→31	44→45	49→50	44	183/254/292	109	241	13	18	30%	8%	55	-1.9	205/280/316	111	277	12	12	28%	9%	70	-0.8	179/261/273	93	244	9	8	29%	9%	52	-0.9

Career Stats + Projections

Career Comps

Career Path Comps