Player 804133 — OGILVIE

Player 8041331B Kannapolis Cannon Ballers

Age — —/— A HR +4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION57 act + 11 ros · stats below = ROS only

showingROS

wRC+†80

AVG/OBP/SLG.200 / .273 / .300

PA11

HR0

K%36

BB%9

BABIP299

ISO100

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M 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	$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	CWS	—	57	51	12	4	1	2	5	21	1	2	0	235	316	471	786	235	357	37	9	346	120	+1	+0	+0	-1	+1	0.2
▸ 2026 season
YTD	—	A RAW	CWS	—	57	48	16	6	2	2	8	15	1	2	0	333	439	667	1.105	333	452	26	14	471	120	—	—	—	—	—	—
ROS	—	A MLE	CWS	0%	11	10	2	1	0	0	1	4	0	0	0	200	273	300	573	100	298	36	9	287	80	-0	+0	+0	-0	+0	-0.0
TOT	—	A MLE	CWS	—	68	61	14	5	1	2	6	25	1	2	0	230	309	443	751	213	353	37	9	336	114	+1	+0	+0	-1	+1	0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	CWS	0%	217	195	41	10	3	5	17	71	3	4	1	210	284	369	653	159	299	33	8	291	83	-4	+0	+0	-4	+5	-0.3
2028	25	MLB MLE	CWS	0%	343	309	66	16	4	8	27	109	4	6	1	214	285	369	654	155	298	32	8	294	85	-6	+1	+0	-6	+7	-0.4
2029	25	MLB MLE	CWS	0%	428	386	84	20	5	11	34	134	5	8	2	218	289	381	670	163	298	31	8	295	86	-7	+1	+0	-8	+9	-0.5
2030	25	MLB MLE	CWS	0%	485	438	95	23	6	12	38	151	6	9	2	217	288	379	667	162	297	31	8	296	87	-8	+1	+0	-9	+11	-0.5
2031	25	MLB MLE	CWS	0%	525	472	103	25	6	13	42	163	6	9	2	218	290	379	670	161	297	31	8	296	87	-8	+1	+0	-9	+11	-0.5
2032	25	MLB MLE	CWS	0%	552	496	108	26	6	14	44	171	7	10	2	218	291	379	670	161	296	31	8	297	87	-9	+1	+0	-10	+12	-0.5
2033	25	MLB MLE	CWS	0%	572	515	113	27	7	15	45	177	7	10	2	219	291	386	677	167	296	31	8	297	87	-9	+1	+0	-10	+12	-0.6
2034	25	MLB MLE	CWS	0%	587	528	114	27	7	15	47	182	7	11	2	216	289	379	667	163	296	31	8	297	87	-9	+1	+0	-10	+13	-0.5
2027	25	MLB CTX	CWS	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	300	—	—	284	83	—	—	+0	-0	—	—
2028	25	MLB CTX	CWS	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	299	—	—	287	85	—	—	+0	-0	—	—
2029	25	MLB CTX	CWS	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	299	—	—	288	86	—	—	+0	-0	—	—
2030	25	MLB CTX	CWS	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	298	—	—	289	87	—	—	+0	-0	—	—
2031	25	MLB CTX	CWS	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	298	—	—	289	87	—	—	+0	-0	—	—
2032	25	MLB CTX	CWS	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	297	—	—	289	87	—	—	+0	-0	—	—
2033	25	MLB CTX	CWS	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	297	—	—	289	87	—	—	+0	-0	—	—
2034	25	MLB CTX	CWS	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	297	—	—	290	87	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3720	3349	726	175	44	93	295	1162	45	67	14	217	289	379	668	162	300	31	8	296	86	-60	+8	+0	-66	+81	-3.9
/ 162G	—	MLE		—	650	585	127	31	8	16	52	203	8	12	2	217	290	379	669	162	301	31	8	296	86	-11	+1	+0	-12	+14	-0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael 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
#2Gregory 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
#3Dustin 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
#4Chris 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
#5Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	5.9	3,924	98	71	217	285	378	-44	+0	1.2	1.3
/162	664	17	12	-7.4	+0.0	0.2	pk7: 1
#6Chad Pinderlast yr '22 career totals — 7 seasons, 1,740 PA	2.6	1,740	62	5	242	294	417	-17	-20	0.6	0.6
/162	664	24	2	-6.5	-7.6	0.2	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 804133 (OGILVIE)	25	—	—	—	—	206/276/364	158	298	5	4	34%	8%	80	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Kyle Datres 2021 · A	25	42	47→50	52→55	42	211/281/355	143	283	14	15	30%	7%	80	-0.2	210/290/349	139	286	16	22	31%	8%	82	-0.0	203/288/338	135	274	17	27	31%	9%	77	-0.2
✕Sean Bouchard 2021 · A	25	41→44	44→55	47→50	38	204/257/325	121	301	12	10	35%	6%	63	-1.3	223/298/397	174	302	19	12	31%	9%	95	+1.0	223/323/414	192	292	21	16	29%	12%	107	+0.9
✕Kyle Petty 2016 · A	25	45→50	42→50	53→50	39	221/265/325	104	304	10	11	30%	5%	65	-1.2	233/292/345	112	331	11	9	31%	7%	80	-0.1	238/302/353	114	340	11	8	31%	7%	84	+0.1
✕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
✕Brandon Lockridge 2021 · A	24	41→51	43→45	50→65	37	202/252/319	117	294	10	12	34%	5%	59	-1.6	226/275/349	123	321	13	22	32%	6%	76	-0.4	253/321/335	81	356	3	53	27%	8%	85	+0.2
✕Stefan Trosclair 2018 · A	24	43→42	47→50	50	44	216/290/351	135	288	15	9	29%	7%	82	+0.0	215/279/343	128	302	13	7	32%	6%	76	-0.4	203/266/330	127	288	14	4	33%	5%	67	-0.8
✕Mike Ahmed 2017 · A	25	44→45	45→50	47→50	44	215/284/339	124	297	13	11	31%	8%	76	-0.4	211/272/327	116	317	12	9	35%	7%	70	-0.9	200/257/300	100	312	9	7	37%	6%	55	-0.7
✕Armani Smith 2022 · A	24	47	46→50	51→45	38	227/281/355	128	329	14	8	34%	6%	79	-0.2	209/274/303	94	326	9	7	35%	8%	65	-1.2	190/264/265	75	303	7	5	37%	8%	49	-1.0
✕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
✕Shane Selman 2022 · A	25	44	48→50	45	46	217/294/358	140	308	16	8	33%	9%	85	+0.2	202/269/344	142	300	17	7	36%	7%	73	-0.6	165/232/316	151	236	20	3	38%	6%	51	-1.1
✕Tristin English 2022 · A	25	37→47	44→50	45→40	38	191/256/298	108	276	13	9	34%	6%	57	-1.8	215/277/339	124	283	15	5	28%	6%	74	-0.5	227/282/364	137	285	16	2	26%	5%	79	-0.2
✕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
✕Zander Wiel 2018 · A	25	40→49	45→50	51→45	42	201/260/332	130	271	12	6	30%	7%	66	-1.1	214/266/354	140	292	14	6	30%	5%	74	-0.6	213/262/359	146	288	15	5	31%	5%	72	-0.6
✕Skye Bolt 2019 · AA	25	40→41	46→50	51→50	42	204/265/340	137	284	13	12	32%	7%	70	-0.9	218/281/357	139	307	14	12	32%	8%	80	-0.2	238/305/370	133	314	14	12	28%	8%	89	+0.2
✕Brett Harris 2022 · A	24	44→52	44→45	49→50	43	218/288/335	117	294	12	11	29%	7%	78	-0.3	241/313/376	135	292	15	10	22%	8%	96	+1.0	238/318/367	129	288	14	9	21%	8%	93	+0.6
✕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
✕Jerad Head 2008 · A	25	41→44	44→50	49→50	41	207/274/331	124	262	11	9	25%	5%	72	-0.7	222/279/361	139	277	13	10	24%	5%	80	-0.1	229/282/384	155	280	16	9	24%	4%	84	+0.1
✕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
✕Luke Grayson 2006 · A	24	45→44	46→50	48→50	40	221/281/355	134	315	13	9	33%	7%	80	-0.2	208/264/331	123	299	12	10	33%	5%	68	-1.0	186/239/306	120	265	12	10	34%	4%	50	-1.5
✕Devin Shines 2013 · A	24	42	44→50	50	37	211/264/328	117	296	12	11	32%	5%	67	-1.1	197/250/293	96	286	8	9	32%	6%	53	-2.1	152/205/221	69	219	5	7	32%	6%	17	-1.5

Career Stats + Projections

Career Comps

Career Path Comps