Player 805890 — OGILVIE

Player 8058901B Hickory Crawdads

Age — —/— A HR +15%BB +5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION135 act + 18 ros · stats below = ROS only

showingROS

wRC+†83

AVG/OBP/SLG.188 / .278 / .250

PA18

HR0

K%33

BB%11

BABIP286

ISO62

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$6M ctrl surplus

Tools · 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
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	$3M	—	—	—
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	TEX	—	135	114	21	3	2	5	15	48	5	8	2	184	306	377	683	193	258	36	11	295	86	-2	+1	+0	-2	+3	-0.1
▸ 2026 season
YTD	—	A RAW	TEX	—	135	105	24	4	2	6	24	34	5	8	2	229	396	476	872	248	273	25	18	386	86	—	—	—	—	—	—
ROS	—	A MLE	TEX	0%	18	16	3	1	0	0	2	6	0	1	0	188	278	250	528	62	283	33	11	291	83	-0	+0	+0	-0	+0	-0.0
TOT	—	A MLE	TEX	—	153	130	24	4	2	5	17	54	5	9	2	185	303	362	664	177	264	35	11	294	85	-3	+1	+0	-3	+3	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	TEX	0%	310	273	57	10	3	9	28	98	6	11	2	209	296	366	663	158	282	32	9	293	84	-6	+1	+0	-6	+7	-0.3
2028	25	MLB MLE	TEX	0%	404	357	74	13	3	11	37	125	7	14	3	207	294	353	647	146	283	31	9	295	86	-7	+2	+0	-7	+9	-0.4
2029	25	MLB MLE	TEX	0%	468	414	87	15	4	13	42	143	9	17	4	210	297	360	657	150	283	31	9	297	87	-7	+2	+0	-8	+10	-0.4
2030	25	MLB MLE	TEX	0%	512	452	96	17	4	15	46	155	9	19	4	212	298	367	665	155	283	30	9	298	88	-8	+2	+0	-9	+11	-0.3
2031	25	MLB MLE	TEX	0%	542	478	102	18	4	16	49	164	10	20	4	213	300	368	668	155	283	30	9	298	88	-8	+2	+0	-10	+12	-0.4
2032	25	MLB MLE	TEX	0%	563	497	104	18	4	16	51	171	10	20	4	209	296	358	654	149	282	30	9	298	88	-8	+2	+0	-10	+12	-0.4
2033	25	MLB MLE	TEX	0%	579	510	109	19	5	17	53	175	11	21	4	214	301	371	672	157	282	30	9	298	88	-8	+3	+0	-10	+13	-0.4
2034	25	MLB MLE	TEX	0%	591	521	110	19	5	17	54	179	11	21	5	211	299	365	663	154	282	30	9	298	88	-8	+2	+0	-11	+13	-0.4
2027	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	285	—	—	284	84	—	—	+0	-0	—	—
2028	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	285	—	—	287	86	—	—	+0	-0	—	—
2029	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	285	—	—	289	87	—	—	+0	-0	—	—
2030	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	285	—	—	290	88	—	—	+0	-0	—	—
2031	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	285	—	—	290	88	—	—	+0	-0	—	—
2032	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	285	—	—	290	88	—	—	+0	-0	—	—
2033	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	284	—	—	290	88	—	—	+0	-0	—	—
2034	25	MLB CTX	TEX	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	284	—	—	290	88	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3987	3518	742	130	32	114	362	1216	73	144	30	211	298	363	661	152	284	30	9	297	87	-60	+17	+0	-71	+86	-2.9
/ 162G	—	MLE		—	650	574	121	21	5	19	59	198	12	23	5	211	298	364	662	153	283	30	9	297	87	-10	+3	+0	-12	+14	-0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Kole Calhounlast yr '23 career totals — 11 seasons, 4,963 PA	7.5	4,963	179	33	242	316	418	-54	-33	8.3	9.6
/162	664	24	4	-7.3	-4.4	1.1	pk7: 11
#2Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#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
#5Dustin 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
#6Chris Heiseylast yr '17 career totals — 8 seasons, 1,758 PA	2.6	1,758	62	25	238	296	413	-18	+3	3.0	3.2
/162	664	23	9	-6.7	+1.0	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.4	4,276	122	153	212	295	364	-48	+0	2.6	2.6
/162	664	19	24	-7.5	+0.0	0.4	pk7: 3

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 805890 (OGILVIE)	25	—	—	—	—	201/290/348	147	283	8	12	33%	9%	83	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kyle Datres 2022 · A	26	40→42	47→50	54→55	46	201/285/337	136	272	14	18	30%	9%	78	-0.3	212/290/348	136	290	16	23	31%	8%	82	-0.0	203/285/337	134	276	17	26	31%	8%	75	-0.3
✕Jonathan Davis 2017 · A	25	42→52	46→45	55	45	207/293/340	133	287	12	21	30%	8%	81	-0.1	221/300/334	113	289	9	19	25%	8%	82	-0.0	221/304/328	106	311	9	22	29%	9%	79	-0.1
✕Elijah Dunham 2022 · A	24	44→42	47→50	55→60	45	219/291/363	144	292	14	21	29%	8%	85	+0.2	209/281/351	142	283	14	27	30%	8%	78	-0.3	199/272/342	143	270	15	29	30%	8%	71	-0.7
✕Jeremy Rathjen 2015 · A	25	43→40	47→45	51→50	44	216/284/353	137	278	15	14	27%	7%	80	-0.1	204/259/329	125	276	13	9	30%	6%	65	-1.2	161/210/268	107	215	12	5	31%	5%	29	-1.6
✕Keon Broxton 2015 · AA	25	45→50	47→55	54→60	39	221/274/361	141	315	15	16	34%	6%	78	-0.3	228/296/382	154	343	15	32	35%	8%	91	+0.6	224/300/388	164	339	17	38	36%	9%	92	+0.6
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕Jordan Nwogu 2023 · A	24	41	48→45	53→55	41	206/278/348	142	298	16	16	35%	7%	77	-0.3	194/256/307	113	291	13	20	36%	6%	59	-1.6	213/279/291	78	298	7	24	29%	6%	62	-0.8
✕Chad Hinshaw 2015 · A	24	45→43	47→45	56→55	39	220/296/364	144	302	14	23	31%	6%	88	+0.4	214/287/317	103	310	8	24	31%	7%	73	-0.6	201/274/282	81	300	6	25	32%	7%	57	-0.9
✕Zach Kokoska 2023 · A	24	43	50→55	56→55	42	220/284/372	152	280	18	16	28%	6%	84	+0.2	197/264/361	164	273	20	17	35%	6%	75	-0.5	170/241/333	163	239	21	19	38%	6%	58	-0.9
✕Brewer Hicklen 2021 · A	25	44→52	47→50	56→60	35	212/273/347	135	330	16	25	39%	6%	75	-0.5	201/276/348	147	314	17	32	39%	8%	77	-0.3	212/288/361	150	295	19	38	33%	7%	82	-0.0
✕John Rave 2022 · A	24	41→47	47→50	54→55	40	204/273/334	130	311	15	14	38%	8%	72	-0.7	216/283/343	127	305	14	15	32%	8%	77	-0.3	222/295/374	153	277	16	24	25%	9%	86	+0.3
✕Scott Heineman 2017 · A	24	48→55	45	51→50	43	234/300/367	133	315	12	17	28%	7%	89	+0.5	244/302/363	119	329	11	14	27%	6%	88	+0.5	250/311/378	128	324	14	16	26%	6%	92	+0.4
●Rafael Lantigua 2022 · A	24	45→55	45	53→55	45	223/287/353	130	295	13	20	28%	8%	81	-0.1	247/317/352	105	324	8	18	24%	9%	91	+0.7	251/326/344	93	326	6	18	23%	9%	90	+0.5
✕Eli Iorg 2008 · A	25	45→50	47→50	59→55	37	226/266/369	143	303	14	24	30%	4%	76	-0.4	229/264/344	115	313	10	17	29%	4%	69	-0.9	240/270/352	112	320	10	19	28%	3%	70	-0.7
✕Ryan Cordell 2017 · AA	25	44→43	49→50	53→50	40	228/272/378	150	285	17	14	27%	5%	81	-0.1	209/257/340	131	278	14	13	29%	5%	66	-1.1	196/248/317	122	264	13	13	30%	6%	56	-0.9
✕Timothy Moss 2006 · A	24	45→44	47→50	52→55	39	221/286/366	145	321	14	18	34%	6%	84	+0.2	211/269/341	130	318	12	17	35%	6%	72	-0.7	198/252/329	132	302	11	20	37%	5%	60	-1.4
✕Taylor Featherston 2014 · A	24	46→47	47→50	53→50	40	230/281/371	141	304	14	12	28%	5%	82	+0.0	215/260/346	131	279	13	11	27%	4%	69	-0.9	204/249/331	127	261	12	11	26%	4%	59	-1.1
✕Barrett Barnes 2015 · A	24	43→52	44→45	51→50	43	213/277/330	117	286	12	14	29%	7%	72	-0.7	227/293/347	120	297	10	12	26%	7%	82	-0.0	229/296/349	120	303	9	12	26%	7%	81	-0.0
✕Brandon Lockridge 2022 · AA	25	47→55	47→45	54→65	37	229/274/364	135	324	14	18	33%	5%	78	-0.3	228/285/336	108	326	10	31	31%	7%	76	-0.4	253/321/335	81	356	3	53	27%	8%	85	+0.2
✕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

Career Stats + Projections

Career Comps

Career Path Comps